A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Dutta, Bidyarthi
- Scientometric Study of Carbon Nanotube Research in India
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN
2 Department of Library & Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 50, No 5 (2013), Pagination: 639-655Abstract
This paper reports on a scientometric study of 834 articles on Carbon nanotube research in India spanning over the years 1999 to 2012 downloaded from Web of Science. The study analyses literature growth trends, which shows an initiation of potential growth of research in this subject since 2008. It also examines collaborations with different countries. The authorship pattern, document types involved and active Indian institutions co-coordinating research in this subject have also been studied. Bradford law of scattering was applied to identify the core journals and Lotka's law to study the authors productivity pattern.Keywords
Scientometrics, Informetrics, Bibliometrics, Carbon Nanotube, Nanotechnology, Nanoscience, Bradford'S Law, Lotka'S Law, Research Trend, IndiaReferences
- http://en.wikipedia.org/wiki/Emerging_technologies (Retrieved on 4/6/2013 at 3.47 PM)
- http://en.wikipedia.org/wiki/Nanotechnology (Retrieved on 4/6/2013 at 4.04 PM)
- http://en.wikipedia.org/wiki/Carbon_nanotube (Retrieved on 4/6/2013 at 4.10 PM)
- http://www.ipt.arc.nasa.gov/carbonnano.html (Retrieved on 4/6/2013 at 4.17 PM)
- Bhattacharya, S. and Shilpa. (2011) Mapping nanotechnology research and innovation in India. DESIDOC Journal of Library and Information Technology, 31(5): 349-58.
- Kostoff, R.N. et al. (2006b) The structure and infrastructure of the global nanotechnology literature. Journal of Nanoparticle Research, 8: 301-21.
- Meyer, M. (2007) What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency. Scientometrics, 70(3): 779-810.
- Leydesdroff, L. (2007) Betweenness centrality as an indicator of the interdisciplinarity of scientific journals. Journal of American. Society of Information Science and Technology, 58(9): 1302-319.
- Marx, W. and Barth, A. (2010) Carbon nanotubes- a scientometric study, Carbon Nanotubes, Jose Mauricio Marulanda (Ed.), ISBN: 978-953-307-054-4, InTech, Available from: http://www.intechopen.com/books/ carbon-nanotubes/carbon-nanotubes-a-scientometric-study
- Patra, S. K. and Bhattacharya, P. (2005) Bibliometric study of cancer research in India, DESIDOC Journal of Library & Information Technology, 25(2): 11-18.
- Patra, S. K. and Chand, P. (2007) HIV/AIDS research in India: A bibliometric study, Library & Information Science Research, 29(1): 124-34.
- Patra, S. K. and Chand, P. (2005) Biotechnology research profile in India, Scientometrics, 63(3): 583-97.
- Patra, S. K.; Bhattacharya, P. and Verma, N. (2006) Bibliometric study of literature on bibliometrics, DESIDOC Journal of Library & Information Technology, 26(1): 27-32.
- Patra, S. K. and Chand, P. (2006) Library and information science research in India: A bibliometric study, Annals of library and information studies, 53(4): 219-23.
- Patra, S. K. and Mishra, S. (2006) Bibliometric study of bioinformatics literature, Scientometrics, 67(3): 477-89.
- Kumara, A. et al. Bibliometric and Scientometric Studies in Physics and Engineering: Recent Ten Years Analysis, 2009. In Putting Knowledge to Work: Best Practices in Librarianship, Mumbai (India), 1-2 May2009. [Conference Paper]
- Jain, A. and Garg, K.C. (1992) LASER research in India: scientometric study and model projections, Scientometrics, 23(3): 395-415.
- Kademani, B.S. et. al. (2006) World literature on thorium research: A scientometric study based on Science Citation Index, Scientometrics, 69(2): 347-64.
- Stanhill, G. (2001) The growth of climate change science: a scientometric study, Climatic Change, 48(2-3): 515-24.
- Garg, K.C. and Padhi, P. (1998) Scientometric study of LASER patent literature, Scientometrics, 43(3): 443-54.
- Upadhye, R.P. et. al. (2004) Scientometric analysis of synchronous references in the Physics Nobel lectures, 1981-1985: A pilot study, Scientometrics, 61(1): 55-68.
- Lee, C.K. (2003) A scientometric study of the research performance of the Institute of Molecular and Cell Biology in Singapore, Scientometrics, 56(1): 95-110.
- Schummer, J. (1997) Scientometric studies on chemistry I: the exponential growth of chemical substances, 1800-1995, Scientometrics, 39(1): 107-23.
- Braun, T; Schubert, A.P. and Kostoff, R.N. (2000) Growth and trends of Fullerene research as reflected in Its journal literature, Chemical Review, 100: 23-37.
- Gupta, V.K. (1999) Technological trends in the area of Fullerenes using bibliometric analysis of patents, Scientometrics, 44(1): 17-31.
- Gupta, V.K. and Pangannaya, N.B. (2000) Carbon nanoitubes: bibliometric analysis of patents, World Patent Information, 22(3): 185-9.
- Sen, B.K. Cybermetrics-Meaning, Definition, Scope and Constituents WIS-2004, International Workshop onWebometrics, Informetrics and Scientometrics, (eds.). Hildrun Kretschmer, Yogendra Singh, and Ramesh Kundra,. (2-5 March, 2004).Organised by Society for Information Science, New Delhi, and Indian Institute ofTechnology, Roorkee, India, pp. 310-315
- Lancaster, F.W. (1986) Vocabulary control for information retrieval, Ed. 2. Information Resources, Arlington, V.A.
- Bradford, S.C. (1934) Sources of information on specific subjects. Engineering: An Illustrated Weekly, 137(3550): 85-6.
- Lotka, A.J. (1926) The frequency distribution of scientific productivity. Journal of the Washington Academy of Science, 16: 317-23.
- Ranganathan S.R. (1967) Prolegomena to Library Classification. London: Asia Publishing House.
- Mechanism of Keyword formation in Research Articles on Physics: An Empirical Study
Authors
1 West Bengal Board of Secondary Education, 77/2, Park Street, Kolkata 16, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 50, No 1 (2013), Pagination: 3-22Abstract
This study is based on 5,112 author-assigned 'Associated keywords' culled out from 1,238 research papers selected from eleven different journals of physics published by American Institute of Physics. The research papers from each issue have been chosen by the method of random sampling. All these keywords have been formed from 10,156 single words and/or keywords through 6,718 contextual relationships. The keywords assigned by the respective authors of the concerned articles have only been taken for study, but no keyword was collected from anywhere of any article by either of the Authors of this paper in order to avoid biasness. It has been mathematically established that the formation of 'Associated keywords' from single words and/or keywords depends on contextual relationships exist among different single words and/or keywords. The name given to contextual relationship is 'Alliance potential', and a new parameter has been defined to measure the rate of keyword formation per unit 'Alliance potential'. The name given to this new parameter is 'Associated keyword formation coefficient' or AKFC. This parameter remains constant for a particular journal and varies over different journals. The constancy of AKFC for ten physics journals has been verified and this has been manifested as a characteristic feature of a journal belonging to a specific subject domain.Keywords
Single Keyword, Associated Keyword, Contextual Relationship, Information Retrieval, Keyword Cluster Analysis, Keyword Indexing, Associated Keyword Formation Coefficient, Keyword-in-Context, Keywords in Physics.References
- Hartley, J. & Kostoff, R.N. (2003) How useful are ‘keywords’ in scientific journals? Journal of Information Science. 29: 433–438.
- Bottle, R.T. (1970) The information content of titles in engineering literature, IEEE Transactions on Engineering Writing. EWS-13, 1970: 41-45.
- Hansen, I. (1972) Evaluation of the database CA condensates compared with chemical titles, Journal of Chemical Documentation. 12: 101-109.
- Kraft, D.H. (1964) Comparison of keyword-in-context indexing of titles with a subject-heading classification system, American Documentation. 15: 48-52.
- Lancaster, F.W. (1972) Vocabulary Control for Information Retrieval, (Information Resources Press; Washington DC).
- Olive, G. & Terry, J.E. & Datta, S. (1973) Studies to compare retrieval using titles with that using index terms, Journal of Documentation. 29: 169-191.
- Ruhl, M.J. (1964) Chemical documents and their titles: Human concept indexing vs. KWIC machine indexing, American Documentation. 15: 136-141.
- Byrne, J.R. (1975) Relative effectiveness of titles, abstracts and subject headings for machine retrieval from the COMPENDEX services, Journal of the American Society for Information Science. 26: 223-229.
- Voorbij, H.J. (1998) Title keywords and subject descriptors: A comparison of subject search entries of books in the humanities and social sciences, Journal of Documentation. 54: 466-476.
- Dubois, C.P R. (1987) Free text vs. controlled vocabulary; a reassessment, Online Review. 11: 243-253.
- Taylor, A G. (1995) On the subject of subjects, Journal of Academic Librarianship. 21: 484-491.
- Bertrand, A & Cellier, J.M. (1995) Psychological approach to indexing effects of the operator’s expertise upon indexing behaviour, Journal of Information Science. 21: 459-472.
- Suraud, M.G. et al. (1995) On the significance of databases keywords for a large-scale bibliometric investigation in fundamental physics, Scientometrics. 33: 41-63.
- Bates, M.J.; Wilde, D.N. & Siegfried, S. (1993) An analysis of search terminology used by humanities scholars: the Getty Online Searching Project Report, No.1, Library Quarterly. 63: 1-39.
- Hurt, C.D. (1997) Classification and subject analysis: looking to the future at a distance, Cataloging and Classification Quarterly. 24: 97-112.
- Soergel, D. et al. (2004) Re-engineering thesauri for new applications: the AGROVAC example, Journal of Digital Information. 4. (Also available at: http://jodi.ecs.soton.ac.uk/Articles/v04/i04/Soergel/)
- Juvan, S.; Bartol, T. & Boh, B. (2005) Data structuring and classification in newly-emerging scientific fields, Online Information Review. 29: 483-498. (Also available at: www.emeraldinsight.com/1468-4527.htm)
- Dutta, B.; Majumder, K.P. & Sen, B.K. (2008) Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. 55: 317-333.
- Dutta, B.; Majumder, K.P. & Sen, B.K. (2009) An analytical model for investigation of some characteristics of the keywords of the subject Fermi liquid: A case study. Annals of Library and Information Studies. 56: 273- 290.
- Evans, V. & Green, M. Cognitive linguistics: an introduction, (Edinburgh University Press; Edinburgh), c2006 589-590.
- Ibid.
- Aronoff, M. & Rees-Miller, J. (2003) The handbook of linguistics, (Oxford: Blackwell).
- Ibid.
- Content Management by Keywords:An Analytical Study
Authors
1 St. Xavier‘s College, 30, Park Street, Kolkata 700016, IN
2 Department of Library and Information Science, Jadavpur University, Kolkata, IN
3 Shivalik Apartments, Alaknanda, New Delhi 110019, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 47, No 6 (2010), Pagination: 599-620Abstract
Various methods of content analysis are described here with special emphasis on keyword analysis. This study is based on an analytical study of 97 keywords extracted from titles and abstracts of 70 research articles, taking ten from each year starting from 2000 to 2006, in decreasing order of relevance, on the subject Fermi Liquid, which is a specific subject under the broad area of Condensed Matter Physics. The keywords beginning with the letters 'A' to 'F' only are considered for this study. The research articles have been collected from the bibliographic database of INSPEC. The keywords are indexed to critically examine its physical structure that is composed of three fundamental kernels, viz. keyphrase, modulator and qualifier. The keyphrase reflects the central concept, which is usually post-coordinated by the modulator to amend the central concept in accordance with the relevant context. The qualifier comes after the modulator to describe the particular state of the central concept and/or amended concept. The keywords are further classified in 36 classes on the basis of the 10 parameters, of which 4 parameters are intrinsic, i.e. Associativeness, chronological appearance, frequency of occurrence and category; and remaining 6 parameters are extrinsic, i.e. Clarity of meaning, type of meaning, scope of meaning, level of perception, mode of creation and area of occurrence. The number of classes under 4 intrinsic parameters is 16, while the same under 6 extrinsic parameters are 20. A new taxonomy of keywords has been proposed here that will enable to analyze research-trend of a subject and to identify potential research-areas under the scope of the same.Keywords
Content Management, Content Analysis, Keyword Cluster Analysis, Keyword Taxonomy, Condensed Matter Physics, Fermi Liquid, Structure of Keyword, Intrinsic Criteria of Keyword, Extrinsic Criteria of Keyword.References
- Berelson (B). Content analysis in communications research. New York: Free Press, 1952.
- Kippendorff (K). Content analysis: An introduction to its methodology. (2nd ed.). Thousand Oaks, CA: Sage, 2004.
- Habermas (J). Communication and the Evolution of Society. Boston: Beacon, 1979.
- Miller (U). Thesaurus and New Information Environment. IN: Encyclopedia of Library and Information Science. New York: Marcel Dekker, 2003, p. 2811-2819.
- Jones (Sparck). Some thoughts on classification for retrieval. Journal of Documentation. Vol. 26(2); 1970; p89-101.
- Cambrosio (A); et al. Historical scientometrics? Mapping over 70 years of biological safety research with co-word analysis. Scientometrics. Vol. 27(2); 1993; p119–143.
- Coulter (N); Monarch (I); Konda (S). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. Vol. 49(13); 1998; p1206–1223.
- Looze (M D); Lemarie (J). Corpus relevance through co-word analysis: An application to plant proteins. Scientometrics. Vol. 39(3); 1997; p267–280.
- Courtial (J P). (A) Co-word analysis of scientometrics. Scientometrics. Vol. 31(3); 1994; p251–260.
- Courtial (J P); Cahlik (T); Callon (M). (A) Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. Vol. 31(2); 1994; p173-192.
- Law (J); Whittaker (J). Mapping acidification research: A test of the co-word method. Scientometrics. Vol. 23(3); 1992; p417–461.
- Noyons (E C M); van Raan (A F J). Advanced mapping of science and technology. Scientometrics. Vol. 41(1–2); 1998; p61-67.
- Noyons (E C M); van Raan (A F J). Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research. Journal of the American Society for Information Science. Vol. 49(1); 1998; p 68-81.
- Van Raan (A F J); Tijssen (R J W). The neural net of neural network research. Scientometrics. Vol. 26(1); 1993; p169-192.
- Van Raan (A F J). Scientometrics: State-of-the-art. Scientometrics. Vol. 38(1); 1997; p205-218.
- De Beaugrande (Robert-Alain); Wolfgang Dressler. Introduction to text linguistics. London; New York: Longman, 1981.
- Dutta (Bidyarthi). An analytical investigation into the characteristics of a subject; a case study. PhD thesis submitted to Jadavpur University, 2008.
- Dutta (B); Majumder (K P); Sen (B K). Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. Vol. 55(4); 2008; p317-333.
- Introducing Facetometrics:A New Keyword-Based Measure for Locating Research Areas of a Subject
Authors
1 B.C. Roy Memorial Library, Indian Institute of Management Calcutta, Joka, Kolkata - 700 104, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore - 721 102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 3 (2016), Pagination: 177-185Abstract
This paper has introduced a technique to find out research areas in a subject by the analysis of keywords assigned to articles. Keywords assigned to 1227 research papers published between 2004 and 2013 in a specific subject area "Hawking radiation" have been collected and analyzed. The research articles were retrieved from Web of Science using the search term "Hawking Radiation". The assigned keywords occurred with different frequencies. The keywords formed the clusters of words. The names given to the clusters were in accordance with the names of the most frequently occurring word in a keyword clusters. The clusters have been classed into three groups by size, i.e. small cluster, medium cluster and large cluster. As fairly large number of keywords formed large clusters, it has been assumed that the potential facets are represented by such clusters. Three basic parameters associated with the keyword clusters were identified, viz. no. of keywords in a cluster, frequency of occurrence and occupancy. Four indicators, viz., stability index, integrated visibility index, momentary visibility index and potency index have been defined on the basis of these three parameters and their fluctuations over the study period have been noticed. These indicators hold different values for different clusters and facets. The value ranges of these are categorized in five groups, viz. very high, high, medium, low and very low. Each indicator describes a particular aspect of a facet. These indicators may be used to measure various aspects of facets.Keywords
Facetometrics, Keyword Cluster, Hawking Radiation, Research Areas, Web of Science, Astrophysics Research Trend, Research Trend, Facet Analysis.References
- Berelson, B. 1952. Content Analysis in Communications Research. New York: Free Press.
- Black, J.D. 1962. The Keyword: It’s use in abstracting, indexing and retrieving information. Aslib Proceedings. 14(10): 313–321.
- Cambrosio, A., et al. 1993. Historical scientometrics? Mapping over 70 years of biological safety research with Co-word analysis. Scientometrics. 27(2): 119–143.
- Coulter, N., Monarch, I. & Konda, S. 1998. Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. 49(13): 1206–1223.
- Courtial, J.P. 1994. (A) Co-word analysis of scientometrics. Scientometrics. 31(3): 251–260.
- Courtial, J.P., Cahlik, T. & Callon, M. 1994. (A) Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. 31(2): 173–192.
- Dutta, B. 2008. An analytical investigation into the characteristics of a subject - A case study. PhD thesis. Jadavpur University.
- Dutta, B., Majumder, K.P. & Sen, B.K. 2008. Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. 55(4): 317–333.
- Dutta, B., Majumder, K.P., Sen, B.K. 2010. Content management by keywords: an analytical study. SRELS Journal of Information Management. 47(6): 599–620.
- Hartley, J. & Kostoff, R.N. 2003. How useful are ‘keywords’ in scientific journals? Journal of Information Science. 29(5): 433–438.
- Index Term. Retrieved on 16 Jan 2016 from https://en.wikipedia.org/wiki/Index_term
- Retrieved on 5 Mar 2015 from http://shodhganga.inflibnet.ac.in/bitstream/10603/5109/10/10_chapter 1.pdf
- Law, J. & Whittaker, J. 1992. Mapping acidification research: A test of the co-word method. Scientometrics. 23(3): 417–461.
- Looze, M.D. & Lemarie, J. 1997. Corpus relevance through co-word analysis: An application to plant proteins. Scientometrics. 39(3): 267–280.
- Luhn, H.P. 1960. Keyword-in-Context for technical literature (KWIC Index). American Documentation. 11.
- Noyons, E.C.M. & van Raan, A.F.J. 1998. Advanced mapping of science and technology. Scientometrics. 41(1–2): 61–67.
- Noyons, E.C.M. & van Raan, A.F.J. 1998. Monitoring scientific developments from a dynamic perspective: Self- organized structuring to map neural network research. Journal of the American Society for Information Science. 49(1): 68–81.
- de Solla Price, D.J. 1963. Little science, big science. New York: Columbia University Press.
- de Solla Price, D.J. 1975. Science since Babylon. Enlarged ed. New Haven: Yale University Press; p. 165–186.
- Seetharama, S. 1997. Information consolidation and repackaging: framework, methodology, planning. New Delhi: Ess Ess Pub.
- Van Raan, A.F.J., & Tijssen, R.J.W. 1993. The neural net of neural network research: An exercise in bibliometric mapping. Scientometrics. 26(1): 169–192.
- Van Raan, A.F.J. 1997. Scientometrics: State-of-the-art. Scientometrics. 38(1): 205–218.
- Willett, P. 1988. Recent trends in hierarchical document clustering: A critical review. Information Processing and Management. 24(5): 577–597.
- Study of Citation Distribution in Astrophysics:An Empirical Approach
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 4 (2016), Pagination: 255-269Abstract
This paper has empirically established a relationship between the number of citations received by the articles (both topten cited and others) and number of articles retrieved from Web of Science database in some areas of astrophysics. The study is based on the data retrieved from Web of Science (WoS) database for the period 1990 to 2014 in some areas of astrophysics. The search terms used in WoS were selected from Thesaurus of astronomy. In all, eighteen search terms were selected from some domains of astrophysics using systematic sampling method. Four fundamental variables associated with each search term are considered for this study. These variables are: Number of retrieved documents; total citations received by all retrieved documents (including self citation); total citations received by top 10 cited documents (including self citation) and age of the retrieved documents. On the basis of these four fundamental variables, five new variables are defined as follows, i.e. Average number of citations received by all retrieved articles; average number of citations received by top ten cited articles; Citation Gain; Citation Gain Index and Citation Gain Index per unit Age or Temporary Citation Gain Index. It has been observed that citation gain is directly proportional to number of retrievals. The analysis empirically established the skewed nature of citation distribution, i.e. accumulation of more citations around highly cited articles. The Temporary Citation Gain Index showed rectangular hyperbolic pattern with Publication age.Keywords
Astrophysics, Scientometric Study, Highly Cited Articles, Relative Citation Share, Citation Analysis-Astronomy and Astrophysics, Citation Study, Stellar Physics, Web of Science, Solar Physics-Citation Study, Star, Nuclear Astrophysics-Citation Study.References
- Bornmann, Lutz. (2014). How are excellent (highly cited) papers defined in bibliometrics? A quantitative analysis of the literature. Research Evaluation, 23:166–173; doi:10.1093/ reseval/rvu002
- Glanzel, W. and Schubert, A. (1992). Some facts and figures on highly cited papers in the sciences, Scientometrics, 25:373–380.
- Kostoff, R.N., Barth, R.B. and Lau, C.G.Y. (2008). Relation of seminal nanotechnology document production to total nanotechnology document production-South Korea, Scientometrics, 76:43-67.
- Essential Science Indicators. Retrieved from http://esi.webofknowledge.com/help/h_dathic.htm (Accessed on October 11, 2015).
- Aksnes, Dag W. (2003). Characteristics of highly cited papers. Research Evaluation, 12(3):159-170.
- Ivanović, Dragan and Yuh-Shan Ho. (2014). Highly cited articles in the Information Science and Library Science category in Social Science Citation Index: A bibliometric analysis. Journal of Librarianship and Information Science, 0961000614537514.
- Tang, Rong. (2008). Citation characteristics and intellectual acceptance of scholarly monographs. College & Research Libraries, 69(4):356-369.
- Price and De Solla, D.J. (1965). Networks of scientific papers. Science, 149:510–515.
- Seglen, P.O. (1992). The skewness of science. Journal of the American Society for Information Science, 43:628–38.
- Aksnes, Dag W. and Gunnar Sivertsen. (2004). The effect of highly cited papers on national citation indicators. Scientometrics, 59(2):213-224. 11. Aversa, Elizabeth. (1985). Citation patterns of highly cited papers and their relationship to literature aging: A study of the working literature. Scientometrics, 7(3-6):383-389.
- Plomp, Reinier. (1990). The significance of the number of highly cited papers as an indicator of scientific prolificacy. Scientometrics, 19(3-4):185-197.
- Persson, Olle. (2010). Are highly cited papers more international? Scientometrics, 83(2):397-401.
- Tijssen, Robert, Martijn Visser and Thed van Leeuwen. (2002). Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference? Scientometrics, 54(3):381-397.
- Oppenheim, Charles and Susan P. Renn. (1978). Highly cited old papers and the reasons why they continue to be cited. Journal of the American Society for Information Science, 29(5):225-231.
- Plomp, Reinier. (1994). The highly cited papers of professors as an indicator of a research group’s scientific performance. Scientometrics, 29(3):377-393.
- Glänzel, Wolfgang and András Schubert. (1992). Some facts and figures on highly cited papers in the sciences, 1981– 1985. Scientometrics, 25(3):373-380.
- Campanario, Juan Miguel, and Erika Acedo. (2007). Rejecting highly cited papers: The views of scientists who encounter resistance to their discoveries from other scientists. Journal of the American Society for Information Science and Technology, 58(5):734-743.
- Leydesdorff, Loet. (2012). Alternatives to the journal impact factor: I3 and the top-10% (or top-25%) of the most-highly cited papers. Scientometrics, 92(2):355-365.
- Campanario, Miguel. (1993). Consolation for the scientist: Sometimes it is hard to publish papers that are later highlycited. Social Studies of Science, 23(2):342-362.
- Redner, Sidney. (1998). How popular is your paper? An empirical study of the citation distribution. The European Physical Journal B-Condensed Matter and Complex Systems, 4(2):131-134.
- Aksnes, Dag Westreng. (2005). Citations and their use as indicators in science policy: Studies of validity and applicability issues with a particular focus on highly cited papers. Retrieved from http://purl.utwente.nl/publications/51100 on August 25, 2015.
- Abramo, Giovanni and Ciriaco Andrea D’Angelo. (2015). Ranking research institutions by the number of highly-cited articles per scientist. Journal of Informetrics, 9(4):915-923.
- Chen, Huaqi and Yuh-Shan Ho. (2015). Highly cited articles in biomass research: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 49:12-20.
- Thelwall, Mike and Ruth Fairclough. (2015). Geometric journal impact factors correcting for individual highly cited articles. Journal of Informetrics, 9(2):263-272.
- Martínez, Raidell Avello and Terry Anderson. (2015). Are the most highly cited articles the ones that are the most downloaded? A bibliometric study of IRRODL. The International Review of Research in Open and Distributed Learning, 16(3).
- Abramo, Giovanni, Tindaro Cicero and Ciriaco Andrea D’Angelo. (2014). Are the authors of highly cited articles also the most productive ones? Journal of Informetrics, 8(1):89-97.
- Campanario, Juan Miguel. (1996). Have referees rejected some of the most‐cited articles of all times? Journal of the American Society for Information Science, 47(4):302-310.
- Rousseau, Ronald. (1988). Citation distribution of pure mathematics journals. Retrieved from http://hdl.handle.net/1942/844 on September 02, 2015.
- Burrel, Quentin. (2001). Stochastic modelling of the first-citation distribution. Scientometrics, 52(1):3-12.
- Burrell, Quentin. (2002). The n th-citation distribution and obsolescence. Scientometrics, 53(3):309-323.
- van Leeuwen, Thed N. and Henk F. Moed. (2005). Characteristics of journal impact factors: the effects of uncitedness and citation distribution on the understanding of journal impact factors. Scientometrics, 63(2):357-371.
- Egghe, Leo. (2000). A heuristic study of the first-citation distribution. Scientometrics, 48(3):345-359.
- Egghe, Leo and Ravichandra Rao, I.K. (2001). Theory of first-citation distributions and applications. Mathematical and Computer Modelling, 34(1):81-90.
- Nakamoto, Hideshiro. (1988). Synchronous and diachronous citation distribution. Retrieved from http://hdl.handle.net/1942/837 on September 04, 2015.
- Thesaurus; Unified Astronomy Thesaurus; Retrieved from http://astrothesaurus.org/thesaurus/ on September 05, 2015.
- Physics and Astronomy Classification Scheme; Retrieved from https://www.aip.org/publishing/pacs on September 30, 2015.
- Altmetrics:Six Years of Changing Scholarly Appraisal
Authors
1 Raghunathpur College, P.O. Raghunathpur, Purulia − 723 133, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore − 721 102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 2 (2017), Pagination: 64-77Abstract
The last decade of the 20th century was marked as the opening gateway to internet and communication revolution, which added new dimensions to information and knowledge society. The scholarly community of today’s knowledge society communicates between each other in a non-traditional way besides the traditional way. The arrival of web 2.0 and scientists’ gradual use of said platforms as tools for the diffusion and receipt of scientific information and with part of the scientific community relatively receptive, that scientometrics 2.0 began to be discussed. Another milestone in the era of scientometrics 2.0 is the ‘Wikimetrics’. After the ‘Wikimetrics’ next footprint comes with the advent of ‘Article-level metrics’. Article-level metrics followed by Altmetrics, i.e. Alternative Metrics. The term altmetrics was coined by Jason Priem in 2010, as a generalization of article level metrics, and ischolar_mained in the twitter #altmetrics hashtag. Although altmetrics usually functions as metrics about articles, but it can also be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc. Altmetrics does not cover just citation counts, but also other aspects of the impact of a work, such as how many data and knowledge bases refer to it, article views, download, or mentions in social media and news media. In this paper, the altmetric scores of top-cited altmetric papers are presented. Also, the contents of the same are analysed and presented. It is interesting to note that all top-cited papers appeared from diverse subject domains, i.e. big data in science, biological science, medical science, research methodology, social studies, citation studies and scientometrics, different issues involved in social networking et al. The subject domain altmetrics is a highly interdisciplinary field covering all major areas of universe of knowledge. This study reflects other notable feature, i.e. the discord between traditional metric (times cited) and modern metric (altmetric score).
Keywords
Altmetrics, Altmetric Score, Article-Level Metrics, AS/TC Ratio, Citation Count, Content Analysis, Informetrics, Open Source Metrics, Scholarly Appraisal, Scientometrics, Wikimetrics.References
- Borgman, C.L. (1989). Bibliometrics and Scholarly Communication Editor’s Introduction. Communication Research, 16(5):583-99. https://doi.org/10.1177/009365089016005002.
- Shema, Hadas, Judit Bar‐Ilan, and Mike Thelwall. (2014). Do Blog Citations Correlate with a Higher Number of Future Citations? Research Blogs as a Potential Source for Alternative Metrics. Journal of the Association for Information Science and Technology, 65(5):1018-27. https://doi.org/10.1002/asi.23037.
- Priem, Jason, et. al. (2010). Altmetrics: A Manifesto.
- Metrics. (2016). https://en.wikipedia.org/wiki/Metric.
- Metrics. (2016). http://www.merriam-webster.com/.
- Wittig, G.R. (1978). Statistical Bibliography - A Historical Footnote. Journal of Documentation, 34(3):240-41. https:// doi.org/10.1108/eb026662.
- Cole, F.J. and Eales, N.B. (1917). The History of Comparative Anatomy Part 1: A Statistical Analysis of the Literature. Science Progress, 11:578-96.
- Hulme, E.W. (1923). Statistical Bibliography in Relation to the Growth of Modern Civilization, London: Grafton.
- Rao, I.K.R. (1998). Informetrics: Scope, Definition, Methodology and Conceptual Questions, Workshop on Informetrics and Scientometrics, 16-19 March, Bangalore, organized by Documentation Research and Training Centre, Indian Statistical Institute.
- Pritchad, A. (1969). Statistical Bibliography and Bibliometrics. Journal of Documentation, 25(4):348-49.
- Hood, W.W. and Wilson, C.S. (2001). The Literature of Bibliometrics, Scientometrics and Informetrics. Scientometrics, 52(2):291-314. https://doi.org/10.1023/A:1017919924342.
- Nalimov, V.V. and Mulchenko, Z.M. (1969). Naukometriya. Izuchenie Razvitiya Nauki kak Informatsionnogo Protsessa. [Scientometrics Study of the Development of Science as an Information Process], Nauka, Moscow, (English translation 1971) Washington, D.C.: Foreign Technology Division. U.S. Air Force Systems Command, Wright-Patterson AFB, Ohio. (NTIS Report No.AD735-634).
- Nacke, O. (1979). Informetric: Ein nuer Name fuer eine Disziplin. Nachrichten fuer Dokumentation, 30(6):219-26.
- Rajan, T.N. and Sen, B.K. (1986). An Essay on Informetrics: a Study in Growth and Development. Annals of Library Science and Documentation, 33(1-2):1-12.
- Brookes, B.C. (1990). Biblio-, Sciento-, Infor-metrics??? What are we talking about? In: L. Egghe and R. Rousseau (Eds.), Informetrics 89/90. Selection of Papers Submitted for the Second International Conference on Bibliometrics, Scientometrics and Informetrics, Amsterdam: Elsevier, p. 31-43.
- Priem, J. Altmetrics. (2014). Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact, 263-88.
- Priem, Jason and Bradely H. (2010). Hemminger. Scientometrics 2.0: New Metrics of Scholarly Impact on the Social Web. First Monday, 15(7). https://doi.org/10.5210/ fm.v15i7.2874.
- Thelwall, Michael. (2009). Introduction to Webometrics: Quantitative Web Research for the Social Sciences. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1):1-116.
- Zhang, Y. (2012). Comparison of Select Reference Management Tools. Medical Reference Services Quarterly, 31(1):45-60. https://doi.org/10.1080/02763869.2012.64184 1. PMid:22289095.
- Li, X., Thelwall, M. and Giustini, D. (2012). Validating Online Reference Managers for Scholarly Impact Measurement. Scientometrics, 91(2):461-71. https://doi.org/10.1007/ s11192-011-0580-x.
- Wouters, P. and Costas, R. (2012). Users, Narcissism and Control: Tracking the Impact of Scholarly Publications in the 21st Century. Utrecht: SURF Foundation.
- Lucas, D.V. (2008). A Product Review of Zotero. Master’s Thesis, University of North Carolina at Chapel Hill. Retrieved from: http://ils.unc.edu/MSpapers/3388.pdf.
- Lewison, G. (2002). From Biomedical Research to Health Improvement. Scientometrics, 54(2):179-92. https://doi.org/10.1023/A:1016005710371.
- Kiernan, V. (2003). Diffusion of News about Research. Science Communication, 25(1), 3-13. https://doi.org/10.1177/1075547003255297.
- Head, A.J., and Eisenberg, M.B. (2010). How Today’s College Students use Wikipeadia for Course Related Research. First Monday, 15(3). https://doi.org/10.5210/fm.v15i3.2830.
- Schweitzer, N.J. (2008). Wikipedia and Psychology: Coverage of Concepts and its use by Undergraduate Students. Teaching of Psychology, 35(2), 81-85. https://doi.org/10.1080/00986280802004594.
- Nielsen, F. (2007). Scientific Citations in Wikipeadia. First Monday, 12(8). https://doi.org/10.5210/fm.v12i8.1997.
- Priem, J.; Piwowar, H.A. and Hemminger, B.M. (2012). Altmetrics in the Wild: Using Social Media to Explore Scholarly Impact. arXiv: 1203.4745.
- Eysenbach, G. (2012). Can Tweets Predict Citations? Metrics of Social Impact based on Twitter and Correlation with Traditional Metrics of Scientific Impact. Journal of Medical Internet Research, 13(4). https://doi.org/10.2196/jmir.2041.
- Shuai, X.; Pepe, A. and Bollen, J. (2012). How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter mentions, and Citations. arXiv: 1202.2461.
- 31. Effimova, L. (2009). PhD – Mathemagenic. Mathemagenic.
- 32. Nielsen, M. (2009). Doing Science Online. Michael Nielsen Blog.
- Groth, P. and Gurney, T. (2010). Studying Scientific Discourse on the Web using Bibliometrics: A Chemistry Blogging Case Study. Presented at WebSci10: Extending the Frontiers of Society On-Line, Raleigh, NC.
- Shema, H. and Bar-Ilan, J. (2011). Characteristics of researchblogging.org Science Blogs and Bloggers. Presented at Altmetrics 11: Tracking Scholarly Impact on the Social Web, An ACM Web Science Conference 2011 workshop, Koblenz, Germany.
- Perneger, T.V. (2004). Relation between Online “hits counts” and Subsequent Citations: Prospective Study of Research Papers in the BMJ. BMJ (Clinical Research Ed.), 329(7465):546-47. https://doi.org/10.1136/ bmj.329.7465.546. PMid:15345629 PMCid:PMC516105.
- Waltman, L. and Costas, R. (2013). F1000 Recommendations as a Potential New Data Source for Research Evaluation: A Comparison with Citations. Journal of the Association for Information Science and Technology.
- Scientometric Study of Superconductivity Research in India from 1989 to 2014
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore − 721 102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 5 (2017), Pagination: 246-252Abstract
This paper presents scientometric analysis of superconductivity research output in India from 1981 to 2014 and compares it with Global output as reported in Web of Science. The study shows that superconductivity research in India had a steep growth between 1981 and 1988, particularly an abrupt hike in 1987 is noticeable (both Indian and Global) followed by a more or less steady pattern thereafter up to 2014. The Indian growth pattern however differs from Global pattern. A sudden climb was noticed in 1987, which touched the crest in 1991. It started to descend thereafter steadily and troughed in 2003 followed by another steady rise again up to 2014. Indian trend thus shows a dip between 1992 and 2014 unlike Global pattern which was nearly steady over the span. The author productivity pattern only approximately corresponds to Lotka’s law. The number of core journals in the subject area is comparatively less as obtainable by employing Bradford’s law of scattering.Keywords
Bradford’s Law, Growth of Literature, India, Logistic Model, Lotka’s Law, Scientometrics, Superconductivity Research.References
- Superconductivity - Wikipedia, the free encyclopedia. https://en.wikipedia.org/wiki/Superconductivity
- Superconductivity – Encyclopedia Britannica. http://www.britannica.com/science/superconductivity
- Sharma HP, Sen SK. (2001). Changing nature of collaboration in superconductivity research: A case study. Paper presented at NISTADS International Workshop on Emerging Trends in Science and Technology Indicators: Aspects of collaboration, New Delhi, February 20-25.
- Uzunov Dimo I. (2007). Superconductivity research in Bulgaria, IEEE/CSC & ESAS European Superconductivity News Forum. (1):1-4. Available at: http://snf.ieeecsc.org/ sites/ieeecsc.org/files/SuperconductivityBulgaria_IV_Final_ 042907.pdf
- Arunachalam S, Singh UN. (1985). Sophisticated science in a small country: A scientometric analysis of superconductivity research in Israel, Journal of Information Science. 10:165−71. https://doi.org/10.1177/016555158501000405.
- Zhu QL, Willett P. (2011). Bibliometric analysis of Chinese superconductivity research, 1986-2007, ASLIB Proceedings. 63(1):101−19. https://doi.org/10.1108/00012531111103803.
- Arunachalam S, Singh UN. (1984). Publication and citation patterns in the literature of a high metabolism area: The case of superconductivity in 1970, Journal of Information Science. 8(3):93. DOI: 10.1177/016555158400800301. https:// doi.org/10.1177/016555158400800301.
- Barth A, Marx WJ. (2008). Mapping high-temperature superconductors: A scientometric approach, Superconductivity and Novel Magnetism. 21:113. DOI:10.1007/s10948-0080307-2. https://doi.org/10.1007/s10948-008-0307-2.
- Nadel E. (1981). Citation and co-citation indicators of a phased impact of the BCS theory in the physics of superconductivity, Scientometrics. 3(3):203−21.
- Chu H. (1992). Communication between Chinese and non-Chinese scientists in the discovery of high-Tc superconductor: I. The formal perspective, Scientometrics. 25(2):229. DOI: 10.1007/BF02028084. https://doi.org/10.1007/BF02028084.
- Sanderson K. (2006), Superconductivity research is down but not out, Nature. 7110:376. https://doi.org/10.1038/443376b.
- Cardona M, Marx W. (2006). Vitaly L. Ginzburg - A bibliometric study, Journal of Superconductivity and Novel Magnetism. 19(3-5):459−66.
- Chu H. (1992a). Communication between Chinese and non-Chinese scientists in the discovery of high-Tc superconductors: 1. The formal perspective, Scientometrics. 25(2):229−32.
- Chu H. (1992b). Communication between Chinese and non-Chinese scientists in the discovery of high-Tc superconductors: 2. The informal perspective, Scientometrics. 25(2):253−77.
- Chu H. (1998). Superconductivity research in China revised: a citation analysis of the literature published between 1987-1989 (in Chinese), R&D in World Science and Technology. 20(3):135−38.
- Garfield E. (1988, 2nd May). The 1987 Nobel Prize in Physics: citations to K.A. Muller and J.G. Bednorz’s seminal work mirror developments in superconductivity, Current Contents. 3−11.
- Garfield E. (1990, 30th April). The most-cited 1987 physicalsciences articles: Superconductivity supersedes superstrings, Current Contents. 3−14.
- Revisiting Duyvis:A Chemical Engineer’s Zeal to Organize Knowledge
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 55, No 1 (2018), Pagination: 26-33Abstract
This paper presents an analytical study on Frits Donker Duyvis’ role in developing and revising Universal Decimal Classification (UDC). Also, his role as Secretary General of International Institute of Bibliography (IIB) has been analysed. The IIB was formed in 12th September 1895 at Brussels actually to sponsor UDC. It was renamed as International Institute for Documentation in 1931. During Duyvis’ tenure in IIB, several controversies occurred with Paul Otlet and Henri La Fontaine, the inventors of UDC. Otlet’s universal philosophy and notion of a great centralised bibliographic repertory confronted Duyvis’ pragmatic outlook, which is perhaps one of the most remarkable conflicts in the history of knowledge classification in IIB. The excerpts of some memorable letters of Otlet and Duyvis are presented here to present a layout of the historical conflicts took place centring the revision process of UDC. According to Ranganathan, Donker Duyvis was primarily a classificationist and not a grammarian of classificatory language. Several excerpts from different documents are presented to reckon that if Otlet was the first to understand that classification was at the heart of all documentation, it was Duyvis who made this finding in everyday practice.Keywords
Dewey Decimal Classification, Duyvis, Faceted Classification, Frits Donker Duyvis, Henri La Fontaine, International Institute for Bibliography (IIB), International Institute for Documentation (IID), Melvil Dewey, Paul Otlet, Universal Decimal Classification, Universal Decimal Classification (UDC), Universal Repertory.References
- Ranganathan SR. (1961). Sayers and Donker Duyvis: Theory and maintenance of library classification, Annals of Library Science. 8(3):85-99.
- Kent A, Lancour H and Daily JE. ed. (1976). Encyclopaedia of Library and Information Science, 19:277, New York: Marcel Dekker, ISBN: 0-8247-2019-9.
- Rayward WB. ed. (2008). European modernism and the information society: informing the present, understanding the past, Hampshire: Ashgate, 51p. PMid: 19011712 .
- Bradford SC. (1944). The Universal Decimal Classification: Its origin and purpose, structure and use, British Society for International Bibliography Proceedings, 6(1):71-36.
- Universal Decimal Classification. Acceded on: June 25, 2017. Available at: https://en.wikipedia.org/wiki/Universal_ Decimal_Classification.
- UDC Consortium. Acceded on: June 25, 2017. Available at: http://www.udcc.org/index.php/site/page?view=about_history.
- UDC Consortium. Acceded on: June 25, 2017. Available at: http://www.udcc.org/index.php/site/page?view=about.
- Otlet P. (1975). La Documentation en agriculture: Rapport sur la mission a I’Institut International d’Agriculture (Rome: The Institute, 1921). In: Rayward, W.B. The Universe of Information: The Work of Paul Otlet for Documentation and International Organisation (FID 520); Moscow: All-Union Institute For Scientific and Technical Information (Viniti); 1975. p. 220.
- Georges Lorphevre and Donker Duyvis et la. (1964). Classification Decimale Universelle, F. Donker Duyvis. His Life and Work, Publication series 2, No. 45; The Hague: Netherlands Institute for Documentation and Filing; 1964. p. 17.
- Merriam-Webster. Acceded on: June 24, 2017. Available at: https://www.merriam-webster.com/dictionary/ quinzaine.
- The accounts of the Conference are two. 1. ‘Organisation de la documentation technique et industrielle en France*, Documentation Technique et Industrielle, November—December 1920, 925—945. (This article has been given the IIB Publication No. 128a in the FID 75 Years of FID Publications but is there shown without place, publisher or date), the Mundaneum a typescript headed Conference Internationale de Bibliographie et de Documentation, September 1920. 2. Accounts are practically verbatim. In: Rayward, W.B. The Universe of Information: the Work of Paul Otlet for Documentation and International Organisation (FID 520), Moscow: All-Union Institute For Scientific and Technical Information (Viniti); 1975. p. 247.
- Michailov AI. (1964). Donker Duyvis’ Contribution to the Progress of Scientific Information and Documentation*, F. Donker Duyvis: His Life and Work, Publication series, No. 45; The Hague; Nider, p. 32.
- Lorphevre G. (1964). Donker Duyvis et la Classification Dccimale Universelle, F. Donker Duyvis.: His Life and Work, Nider Publication Series 2, No. 45; The Hague, Netherlands Institute for Documentation and Filing, 1964, p. 18. Also Bulletin d’aout 1924, Publication No. 140; Bruxelles: IIB; 1924. p. 9.
- Rayward WB. The Universe of Information: the Work of Paul Otlet for Documentation and International Organisation (FID 520), Moscow: All-Union Institute For Scientific and Technical Information (Viniti); 1975. p. 289.
- Robert Goldschmidt and Paul Otlet, Sur une forme nouvelle du livre: le livre micro-photographique... , Publication No. 81; Bruxelles: 1 IB, 1906.
- Robert Goldschmidt and Paul Otlet, La Conservation et le diffusion Internationale de la penses; le livre microphotique, Publication No. 144; Bruxelles: 11B, 1925, p. 7.
- Donker Duyvis F. (1940) The International Federation for Documentation*, Journal of Documentary Reproduction, III (1940), 183. See also Donker Duyvis to Godfrey Dewey, 14 February 1925, Dossier No. 259r, Dewey, Mundaneum.
- Wright A. (2014). Cataloguing the world: Paul Otlet and the birth of the information age, New York: Oxford University Press, 202p.
- Donker Duyvis to Godfrey Dewey, 14 February 1925, Dossier No. 259r, Dewey, Mundaneum.
- Donker Duyvis to de Vos Van Steenwijk [English translation of Dutch text] 13 December, 1928. Ibid.
- Rayward WB. (1975). The Universe of Information: The Work of Paul Otlet for Documentation and International Organisation (FID 520); Moscow: All-Union Institute For Scientific and Technical Information (Viniti), 314p.
- ibid. p.313-16.
- Rayward WB. ed. (2008). European modernism and the information society: Informing the present, understanding the past. Ashgate Pub. PMid: 19011712.
- Buckland MK. (1997). What is a “document”? Journal of the American Society for Information Science (1986-1998). 48(9):804.
- Satija MP. (2008). Universal Decimal Classification: Past and Present, DESIDOC Journal of Library and Information Technology, 28(6):3.
- Hahn TB and Buckland M. ed. (1998). Historical studies in information science, New Jercy: Information Today, 24p. ISBN: 1-57387-062-5.
- Richards PS, Wiegand WA and Dalbello M. ed. (2015). A history of modern librarianship: Constructing the heritage of western cultures, Santa Barbara: Libraries Unlimited, 207-209p. ISBN: 978-1-61069-099-7. eISBN: 978-1-44083473-8.
- Rayward WB. (1975). The Universe of Information: The Work of Paul Otlet for Documentation and International Organisation (FID 520); Moscow: All-Union Institute For Scientific and Technical Information (Viniti), p.327.
- ibid. p.328.
- ibid. p.329.
- ibid. p.330.
- ibid. p.331.
- ibid. p.331-32.
- ibid. p.334.
- ibid. p.338.
- ibid. p.339.
- Frits Donker Duyvis, Google Scholar Citations; Acceded on: June 27, 2017. Available at: https://scholar.google.ca/ citations?user=fqX6bjkAAAAJ.
- Population Density and Urbanization:Global Research Trend Analysis through the Lens of Scopus and Web of Science
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 56, No 6 (2019), Pagination: 296–305Abstract
In the last few decades, the steep rise in India’s urban population has caused rapid changes in population pattern. The main reason for this change is migration from rural to urban areas. Due to land crisis, cities like Mumbai and Kolkata are experiencing vertical growth, which causes change in population density. The ongoing process of urbanization impacts environmental, demographic, and socioeconomic heterogeneity issues. The municipal areas of cities should have basic amenities like electricity, roads, drinking water, communication, health and access to education. Here lies the question of urban planning. This paper has three distinct objectives. It aims to examine: (a) The genesis and growth of global research on urbanization and population density as reflected in two major citation databases, viz. Scopus and Web of Science; (b) The different facets of urbanization and population density research, through the two citation databases. (c) The essential bibliographic components like authorship pattern, source distribution pattern, keyword distribution pattern etc. of research output.Keywords
Coastal Zone Disaster Management, Population Density, Scientometrics, Urbanization, Urban Planning.References
- Bhave, P. & Rahate, S. (2018). Impact of Redevelopment Projects on Waste Water Infrastructure. Journal of the Institution of Engineers (India): Series A, 1–7. https://doi.org/10.1007/s40030-018-0303-x.
- Corlin, L., Lane, K. J., Sunderarajan, J., Chui, K. K., Vijayakumar, H., Krakoff, L., & Thanikachalam, M. (2018). Urbanization as a risk factor for aortic stiffness in a cohort in India. PloS one, 13(8), e0201036. https://doi.org/10.1371/journal.pone.0201036. PMid: 30067798, PMCid: PMC6070252.
- de Solla, Price, D. J. (1961) Science since Babylon. https://doi.org/10.1063/1.3057695.
- de Solla Price, D. J. (1963). Little science, big Science. New York: Columbia University Press.
- Effects of unplanned development activities and their mitigation measures. https://www.kullabs.com/classes/subjects/units/lessons/notes/note-detail/1015.
- Manasi, S. & Jamwal, N. (2016). Lack of Environmental Planning Exacerbating Climate Change Risks in Urban India: Experiences from Megacities of Bengaluru and Mumbai. In: Climate Change Challenge (3C) and Social–Economic– Ecological Interface–Building. p. 449–75. Springer, Cham. https://doi.org/10.1007/978-3-319-31014-5_28.
- Murthy, R. C., Rao, Y. R. & Inamdar, A. B. (2016). Integrated coastal management of Mumbai metropolitan region. Ocean & Coastal Management, 44(5–6), 355–69. https://doi.org/10.1016/S0964-5691(01)00055-2.
- Pathan, S. K., Sastry, S. V. C., Dhinwa, P. S., Rao, M., Majumdar, K. L., Sampat Kumar, D., & Phatak, V. N. (1993). Urban growth trend analysis using GIS techniques–a case study of the Bombay metropolitan region. International Journal of Remote Sensing, 14(17), 3169–79. https://doi.org/10.1080/01431169308904431.
- Ramachandra, T. V., Aithal, B. H. & Sanna, D. D. (2012). Insights to urban dynamics through landscape spatial pattern analysis. International Journal of Applied Earth Observation and Geoinformation, 18, 329–43. https://doi.org/10.1016/j.jag.2012.03.005.
- Ramachandra, T. V., Bharath, A. H. & Sowmyashree, M. V. (2015). Monitoring urbanization and its implications in a mega city from space: Spatiotemporal patterns and its indicators. Journal of Environmental Management, 148, 67–81. https://doi.org/10.1016/j.jenvman.2014.02.015. PMid: 24768450.
- Rawat, P. K., Pant, C. C. & Bisht, S. (2017). Geospatial analysis of climate change and emerging flood disaster risk in fast urbanizing Himalayan foothill landscape. Geomatics, Natural Hazards and Risk, 8(2), 418–47. https://doi.org/10.1080/19475705.2016.1222314.
- Sharma, B. M., Melymuk, L., Bharat, G. K., Přibylová, P., Sáňka, O., Klánová, J. & Nizzetto, L. (2018). Spatial gradients of Polycyclic Aromatic Hydrocarbons (PAHs) in air, atmospheric deposition, and surface water of the Ganges River basin. Science of the Total Environment, 627, 1495–504. https://doi.org/10.1016/j.scitotenv.2018.01.262. PMid: 30857111.
- Sumathi, V. R., Natesan, U. & Sarkar, C. (2008). GIS–based approach for optimized siting of municipal solid waste landfill. Waste management, 28(11), 2146–160. https://doi.org/10.1016/j.wasman.2007.09.032. PMid: 18060759.
- Talyan, V., Dahiya, R. P. & Sreekrishnan, T. R. (2008). State of municipal solid waste management in Delhi, the capital of India. Waste Management, 28(7), 1276–87. https://doi.org/10.1016/j.wasman.2007.05.017. PMid: 17692510.
- Growth Dynamics Study of Proteomics Research Output Since 2000 to 2018
Authors
1 Shyampur Siddheswari Mahavidyalaya, Ajodhya, Howrah − 711312, West Bengal, India; and Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 57, No 4 (2020), Pagination: 195-205Abstract
Proteomics is the large scale of study of proteins with their function and structure. It is an approach for studying changes in metabolism in response to different stress conditions. It indicates the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. In India, the term ‘Proteomics’ was first used in an article on genomics in 1999. This paper presents the growth dynamics study of Indian and global proteomics research output with a comparative analysis. The growth pattern in India during 1999 to 2007 was exponential in nature followed by saturating power model, while the same for global research showed exponential pattern, followed by the saturating logarithmic curve. The speed of Indian growth was fast compared to global growth since after 2008 as evident from the magnitudes of AIS/AGS. The growth patterns followed Price’s law with an initial exponential trend followed by saturation thereafter. The magnitudes of the Activity Index over the years shows that Indian proteomics research is still far below the world average level, though the lowest AI in the year 2001 (0.002) escalated 19.5 times in 2015 (0.039). The Attractivity Index (AAI) values are found less than one indicating lower than world average impact values of Indian proteomics research, though it is continuously growing.Keywords
De Solla Price’s Theory, Exponential Model, Global Proteomics Research, Growth Dynamics Study, Growth of Literature, Logistic Model, Proteomics Research.References
- Bala, A. and Gupta, B.M. (2010). Mapping of Indian neuroscience research: A scientometric analysis of research output during 1999-2008. Neurology India. 58(1): 35. https://doi.org/10.4103/0028-3886.60393. PMid: 20228461.
- Baskaran, C. (2013). Scientometric analysis of cryptography research output. SRELS Journal of Information Management. 50(4): 413-21.
- Bhasin, V.K. (2000). Proteomics could be key in battle against malaria. Nature. 403(6771): 698. https://doi.org/10.1038/35001753. PMid: 10693775.
- Braun, T., Schubert, A.P. and Kostoff, R.N. (2000). Growth and trends of Fullerene research as reflected in its journal literature. Chemical Reviews. 100(1): 23-38. https://doi.org/10.1021/cr990096j. PMid: 11749233.
- Chandrasekhar, K.D.A., Lebonah, D.E. and Pramoda Kumari, J.A. (2014). Short review on proteomics and its applications. International Letters of Natural Sciences. 12(1): 77-84. https://doi.org/10.18052/www.scipress.com/ILNS.17.77.
- Devi, M. (2015). Scientometric analysis of growth of literature in nuclear medicine. History. 21(74): 511-20.
- Dhawan, S.M., Gupta, B.M. and Bhusan, S. (2018). Global publications output in quantum computing research: A scientometric assessment during 2007-16. Emerging Science Journal. 2(4): 228-37. https://doi.org/10.28991/esj-2018-01147.
- Dutt, B. and Nikam, K. (2013). Solar cell research in India: a scientometric profile. Annals of Library and Information Studies. 60(2): 115-27.
- Dutta, B. and Rath, D.S. (2013). Cosmology research in India: A scientometric study. Library Philosophy and Practice (e-journal). 996. https://digitalcommons.unl.edu/libphilprac/996.
- Dutta, B. and Rath, D.S. (2013). Scientometric study of carbon nanotube research in India. SRELS Journal of Information Management. 50(5): 639-55.
- Elango, B., Rajendran, P. and Bornmann, L. (2013). Global nanotribology research output (1996-2010): A scientometric analysis. PLoS One. 8(12): e81094. https://doi.org/10.1371/journal.pone.0081094. PMid: 24339900, PMCid: PMC3855179.
- Garg, K. and Sharma, P. (1991). Solar power research: A scientometric study of world literature. Scientometrics.21(2): 147-57. https://doi.org/10.1007/BF02017565.
- Gupta, B.M. and Karisiddappa, C.R. (2000). Modeling the growth of literature in the area of theoretical population genetics. Scientometrics. 49(2): 321-55. https://doi.org/10.1023/A:1010577321082.
- Gupta, P.K., Roy, J.K. and Prasad, M. (1999). DNA chips, microarrays and genomics. Current Science. 77: 875-84.
- Hu, Y., et al. (2014). A scientometric study of global electric vehicle research. Scientometrics. 98(2): 1269-82. https://doi.org/10.1007/s11192-013-1067-8.
- Jain, A. and Garg, K. (1992). Laser research in India: scientometric study and model projections. Scientometrics. 23(3): 395-415. https://doi.org/10.1007/BF02029806.
- Kademani, B.S. et al. (2006). Scientometric dimensions of Thorium research in India. DESIDOC Bulletin of Information Technology. 26(3), 9-25.
- Kahn, P. (1995). Molecular biology: from genome to proteome: Looking at a cell’s proteins. Science. 270(5235):369-70. https://doi.org/10.1126/science.270.5235.369. PMid: 7569989.
- Karpagam, R. et al. (2011). Mapping of nanoscience and nanotechnology research in India: A scientometric analysis, 1990-2009. Scientometrics. 89(2): 501. https://doi.org/10.1007/s11192-011-0477-8.
- Konur, O. (2012). The scientometric evaluation of the research on the production of bioenergy from biomass. Biomass and Bioenergy. 47: 504-15. https://doi.org/10.1016/j.biombioe.2012.09.047.
- Lee, C. (2003). A scientometric study of the research performance of the Institute of Molecular and Cell Biology in Singapore. Scientometrics. 56(1): 95-110. https://doi.org/10.1023/A:1021902724734.
- O’Farrell, P.H. (2014). Two-dimensional gel electrophoresis and the beginning of proteomics. Clinical Chemistry. 60(7): 1012-13. https://doi.org/10.1373/clinchem.2014.221630. PMid: 24568796.
- O’Farrell, P.Z., Goodman, H.M. and O’Farrell, P.H. (1977). High resolution two-dimensional electrophoresis of basic as well as acidic proteins. Cell. 12: 1133-41. https://doi.org/10.1016/0092-8674(77)90176-3.
- Patra, S.K. and Bhattacharya, P. (2005). Bibliometric study of cancer research in India. DESIDOC Journal of Library and Information Technology. 25(2): 11-18. https://doi.org/10.14429/dbit.25.2.3650.
- Patra, S.K. and Mishra, S. (2006). Bibliometric study of bioinformatics literature. Scientometrics. 67(3): 477-89. https://doi.org/10.1556/Scient.67.2006.3.9.
- Price, D.J. (1986). Little science, big science... and beyond. New York: Columbia University Press; p. 35-36.
- Roy, S.B. (2019). Research output of biological science during 1901 1945: A scientometric analysis. DESIDOC Journal of Library ans Information Technology. 39(3): 96-103. https://doi.org/10.14429/djlit.39.3.14065.
- Santha Kumar, R. and Kaliyaperumal, K. (2015). Scientometric analysis of global publication output in mobile technology. DESIDOC Journal of Library and Information Technology. 35(4): 287-92. https://doi.org/10.14429/djlit.35.4.7884.
- Schubert, A. and Braun, T. (1986). Relative indicators and relational charts for comparative assessment of publication output and citation impact. Scientometrics. 9: 281-91. https://doi.org/10.1007/BF02017249.
- Shao, H. et al. (2013). Analysis of oncology research from 2001 to 2010: A scientometric perspective. Oncology Reports. 29(4): 1441-52. https://doi.org/10.3892/ or.2013.2239. PMid: 23338281.
- Sharifi, V. et al. (2008). Analysis of mental health research in the Islamic Republic of Iran over 3 decades: A scientometric study. Eastern Mediterranean Health Journal. 14(5): 1060-69.
- Stanhill, G. (2001). The growth of climate change science: A scientometric study. Climatic Change. 48(2-3), 515-24. https://doi.org/10.1023/A:1010721600896.
- Surwase, G., Kademani, B. S. and Kumar, V. (2008). Scientometric dimensions of pulsed laser deposition research: a global perspective, Annals of Library and Information Studies. 55(2): 101-10.
- Swinbanks, D. (1995). Government backs proteome proposal. Nature. 378(6558): 653-53. https://doi.org/10.1038/378653a0. PMid: 7501000.
- Teli, S. and Dutta, B. (2016). Study of citation distribution in astrophysics: An empirical approach. SRELS Journal of Information Management. 53(4): 255-69. https://doi.org/10.17821/srels/2016/v53i4/86579.
- Teli, S. and Dutta, B. (2017). Scientometric study of superconductivity research in India from 1989 to 2014. SRELS Journal of Information Management. 54(5), 24652. https://doi.org/10.17821/srels/2017/v54i5/115450.
- Tripathi, K.K. (2000). Bioinformatics: the foundation of present and future biotechnology. Current Science. 79(5): 570-75.
- Wasinger, V.C. et al. (1995). Progress with gene-product mapping of the Mollicutes: Mycoplasma Genitalium. Electrophoresis. 16(1): 1090-94. https://doi.org/10.1002/elps.11501601185. PMid: 7498152.
- Wilkins, M. (2009). Proteomics data mining. Expert Review of Proteomics. 6(6): 599-603. https://doi.org/10.1586/epr.09.81. PMid: 19929606.
- Revisiting Sayers: One Hundred Years of Canons of Classification
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 3 (2021), Pagination: 165-178Abstract
William Charles Berwick Sayers (1881-1960), an English librarian, made outstanding contributions to the development of a theory of library classification. He is referred to as the first grammarian of library classification. Even though he did not design any classification scheme, he interpreted and systematised the ideas of other theoreticians to formulate guidelines for designing library classification schemes. Sayers presented his theory of classification by stating 29 principles, called Canons, in 1915. He desired to make a comparative study of his canons with Richardson's Criteria, Bliss' Principles and Ranganathan's Canons. This paper presents a comparative study of Sayers' Canons (29 Canons), Bliss' Principles (32 Principles) and Ranganathan's Canons (43 Canons). Richardson stated only five Criteria in the form of general instructional statements these are not included in this study. Sayers' two Canons are similar to both Bliss' Principles and Ranganathan's Canons. Bliss' three Principles show highest similarity with Sayers' five Canons. Ranganathan's three Canons show highest similarity with Sayers' Canons, which are Canon of Currency (Verbal plane), Canon of Reticence (Verbal plane) and Canon of Hierarchy (Notational plane) respectively.Keywords
Bliss' Principles, Canons of Classification, Library Classification Theory, Ranganathan's Canons, Sayers' Canons, Subject Classification.References
- Sayers, W.C.B. (1915). Canons of Classification: Applied to “the Subject”, “the Expansive”, “the Decimal” and “the “Library of Congress” Classifications. London: Grafton; p. 14-15.
- Ranganathan, S.R. (1961). Sayers and Donker Duyvis: Theory and maintenance of library classification. Annals of Library Science, 8(13), 85-99.
- Sayers, W.C.B. (1960). A bookman’s browsings. Library Review, 17(6), 399-403. https://doi.org/10.1108/eb012324.
- Ollé James, G. (1981). WC Berwick Sayers, librarian and teacher. Journal of Librarianship, 13(4), 232-247. https://doi.org/10.1177/096100068101300403.
- Wiegand Wayne, A. (1998). The “Amherst Method”: the origins of the Dewey Decimal Classification scheme. Libraries and Culture, 33(2), 175-194.
- Brown, J. D. (1898). Manual of Library Classification and Shelf Arrangement. London: Library Supply.
- Van den, H. C. (2012). The Dutch connection. Donker Duyvis and perceptions of American and European Decimal classification systems in the first half of the twentieth century. In: International Perspectives on the History of Information Science and Technology, ed. Carbo Toni, Hahn Trudi Bellardo. New Jercy: Information Today; p. 174-186.
- Sayers, W. C. B. (1912). The Grammar of Classification. The Library Assistants’ Association Series. No. 1, Croydon: [s,n].
- Sayers, W. C. B. (1915). Canons of Classification: Applied to “the Subject”, “the Expansive”, “the Decimal” and “the “Library of Congress” Classifications. London: Grafton; p. 26-43.
- Sayers, W. C. B. (1922). Introduction to Library Classification, Theoretical, Historical and Practical and a Short Course in Practical Classification, 2nd Rev. ed. London: Grafton.
- Sayers, W. C. B. (1955). A Manual of Classification for Librarians and Bibliographers, 3rd ed. London: Grafton.
- Richardson, E. C. (1912). Classification: Theoretical and Practical: Together With an Appendix Containing an Essay Towards a Bibliographical History of Systems of Classification. New York: Chas Scribner’s.
- Alan, R. T. (1998). Bibliographical Classification: The Ideas and Achievements of Henry E. Bliss. Cataloguing and Classification Quarterly, 25(1), 51-102. DOI: 10.1300/J104v25n01_05. https://doi.org/10.1300/J104v25n01_05.
- Broughton, V. (2008). Henry Evelyn Bliss-the other immortal, or a prophet without honour? Journal of Librarianship and Information Science, 40(1), 45-58. DOI: 10.1177/0961000607086620. https://doi. org/10.1177/0961000607086620.
- Bliss, H. E. (1923). The Organization of Knowledge in Libraries and the Subject Approach to Books. New York: H.W. Wilson; 1934 Rep.
- Attar, K. E. (2002). The practice of Bliss. Cataloguing and Classification Quarterly, 34(4), 47-65. https://doi.org/10.1300/J104v34n04_06.
- Nam, T. W. and Yoo, K. Y. (2005). A study on Bliss’s Bibliographic Classification. Journal of the Korean Society for Information Management, 22(2), 57-85. https://doi.org/10.1633/JIM.2005.36.1.057.
- Campbell, D. J. (1976). A short biography of Henry Evelyn Bliss (1870-1955). Journal of Documentation, 32(2), 134-45. https://doi.org/10.1108/eb026621.
- Ranganathan, S. R. (1967). Prolegomena to Library Classification, 3rd ed. New York: Asia Pub House.
- Identifying the Core and Allied Disciplines Involved in the Growth of Virology: A Linguistic Analysis
Authors
1 Khejuri College, Baratala, Khejuri - 721431, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore - 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 6 (2022), Pagination: 363-371Abstract
The scientific field of virology mainly focuses on the study of biological viruses. Practically the field is very much associated with virus-caused diseases of living organisms. During the journey of progress, starting from the use of the phrase “contagium vivum fluidum” in the last decade of the 19th century to the modern-day well-recognized discipline of “virology”, it has grown rapidly with a large number of applied researches and interdisciplinary activities. This paper attempts to identify the disciplines with which it is interlinked. Objects’ captions of thirty top-cited research articles were analyzed linguistically to achieve the purpose. Finally, the study identifies 10 core disciplines, 12 allied disciplines, and 27 alien disciplines with which it is interlinked.Keywords
Core Discipline Identification, Domain Analysis, Virology, Virology- Core Disciplines, Virology- Linguistic Analysis, Virology- Root Word Analysis.References
- Beck, R. E., Cassel, L. N. and Austing, R. H. (1989). Computer science: A core discipline of liberal arts and sciences. SIGCSE ‘89: Proceedings of the Twentieth SIGCSE Technical Symposium on Computer Science Education; New York. https://doi.org/10.1145/65293.65300
- Belcher, B. M. and Hughes, K. (2021). Understanding and evaluating the impact of integrated problem-oriented research programmes: Concepts and considerations. Research Evaluation, 30(2), 154-168. https://doi. org/10.1093/reseval/rvaa024
- Bos, L. (2000). 100 years of virology: From vitalism via molecular biology to genetic engineering. Trends in Microbiology, 8(2), 82-87. https://doi.org/10.1016/ S0966-842X(99)01678-9 PMid:10664602
- Ceusters, W. and Smith, B. (2007). Ontology as the core discipline of biomedical informatics: Legacies of the past and recommendations for the future direction of research. In Crnkovic, G. D. and Stuart, S., Editors. Computing, philosophy, and cognitive science. Cambridge: Cambridge Scholars Press; p. 104-122.
- Chang, Y.-W. (2018). Examining interdisciplinarity of Library and Information Science (LIS) based on LIS articles contributed by non-LIS authors. Scientometrics, 116, 1589-1613. https://doi.org/10.1007/s11192-018- 2822-7
- Chen, S., et al. (2015). Exploring the interdisciplinary evolution of a discipline: The case of biochemistry and molecular biology. Scientometrics, 102, 1307-1323. https://doi.org/10.1007/s11192-014-1457-6
- Chua, A. Y. K. and Yang, C. C. (2008). The shift towards multi-disciplinarity in information science. Journal of the American Society for Information Science and Technology, 59(13), 2156-2170. https://doi.org/10.1002/ asi.20929
- Ellison, C. G. and Sherkat, D. E. (1995). Is sociology the core discipline for the scientific study of religion? Social Forces, 73(4), 1255-1266. https://doi. org/10.2307/2580446
- Emanuel, R. (2007 Summer). Communication: Humanities’ core discipline. American Communication Journal, 9(2), 1-13.
- Smith, H. S. (1977). The virus: A history of the concept. London: Heinemann Educational Books. 11. Ibid.
- Larivière, V., Sugimoto, C. R. and Cronin, B. (2012). A bibliometric chronicling of library and information science’s first hundred years. Journal of the American Society for Information Science and Technology, 63(5), 997-1016. https://doi.org/10.1002/asi.22645
- Lee, K. J., et al. (2019). Biostatistics: A fundamental discipline at the core of modern health data science. Med J, 211(10), 444-446. https://doi.org/10.5694/mja2.50372 PMid:31656046 PMCid:PMC6899583
- Maity, D. and Dutta, B. (2022). In search of domain specific standard categories: A case study from cell biology. Journal of Indian Library Association, 58(1), 29-43.
- Maity, D. and Dutta, B. (2021). Mode of formation of cell biology: A linguistic analysis. Article submitted for publication. Department of Library, Khejuri College and Department of Library and Information Science, Vidyasagar University.
- Malcolm, L. R. (2004). Farm management analysis: A core discipline, simple sums, sophisticated thinking. Australian Farm Business Management Network Journal, 1, 45-56.
- Malcolm, B. (2004). Where’s the economics? The core discipline of farm management has gone missing! The Australian Journal of Agriculture and Resource Economics, 48(3), 395-417. https://doi.org/10.1111/ j.1467-8489.2004.00262.x
- Méthot, P.-O. (2016). Writing the history of virology in the twentieth century: Discovery, disciplines, and conceptual change. Studies in History and Philosophy of Biological and Biomedical Sciences, 59, 145-153. https:// doi.org/10.1016/j.shpsc.2016.02.011 PMid:27033340
- Op. cit. Methot, P.-O.
- Oldstone, M. B. A. (2019). History of virology, In Schmidt, T. M., Editors. Encyclopedia of microbiology. p. 608-612. https://doi.org/10.1016/B978-0-12-801238- 3.00078-7
- Karen-Beth, G. S., John, G. S. and Milton, Z. (1999). Tobacco Mosaic Virus: One hundred years of contributions to virology. American Phytopathological Society; St Paul, MN, USA.
- Tobi, H. and Kampen, J. K. (2018). Research design: The methodology for interdisciplinary framework. Qual Quant, 52, 1209-1225. https://doi.org/10.1007/s11135- 017-0513-8 PMid:29674791 PMCid:PMC5897493
- Virology. (2017). In Encyclopedia Britannica. Retrieved from: https://www.britannica.com/science/virology
- Citation Fall Index (CFI): An Indicator to Measure the Centripetal Nature of Accretion of Citation
Authors
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 60, No 6 (2023), Pagination: 355-359Abstract
That citation attracts citation and fairly-cited items quickly become highly-cited, whereas poorly-cited or uncited items are hardly cited even after a long span is a known phenomenon referred to as the ‘Cumulative Advantage’ process (“Success breeds success”). The citation distribution always shows a highly skewed pattern to a very small number of core groups. This paper has proposed a fundamental formula to measure the change in relative fall in citation count with a corresponding change in the ranking of different kinds of cited items (author, journal, article, etc.). Two new indicators are mathematically developed here, the names given to which are, Relative Citation Fall (RCF) and Citation Fall Index (CFI). These indicators will be tested for different kinds of cited items in different subject domains to quantitatively measure citation skewness in future studies.Keywords
Citation Analysis, Citation-based Indicator, Citation Fall Index, Cumulative Advantage, Preferential Attachment, Protein Chemistry, Riemann Zeta Function.References
- Albarrán, P., Crespo, J. A., Ortuño, I., and Ruiz-Castillo, J. (2011). The skewness of science in 219 sub-fields and a number of aggregates. Scientometrics, 88(2), 385–397. https://doi.org/10.1007/s11192-011-0407-9
- Albarrán, P., and Ruiz‐Castillo, J. (2011). References made and citations received by scientific articles. Journal of the American Society for Information Science and Technology, 62(1), 40–49. https://doi.org/10.1002/asi.21448
- Aksnes, D. W.(2003). Amacrostudyofself-citations. Scientometrics, 56, 235–246. https://doi.org/10.1023/A:1021919228368
- Giri, R. (2019). Influence of selected factors in Journals’ citations. Aslib Journal of Information Management, 71(1), 90–104. https://doi.org/10.1108/AJIM-07-2017-0170
- Glanzel, W., and Thijs, B. (2004). Does co-authorship inflate the share of self-citations? Scientometrics, 61(3), 395–404. https://doi.org/10.1023/B:SCIE.0000045117.13348.b1
- GenScript. (n.d.). Make Research Easy. Available at: https:// www.genscript.com/top-100-most-cited-publications.html Ruiz-Castillo, J. and Costas, R. (2014). The skewness of scientific productivity. Journal of Informetrics, 8(4), 917–934. https:// doi.org/10.1016/j.joi.2014.09.006
- Ruiz-Castillo, J. and Costas, R. (2018). Individual and field citation distributions in 29 broad scientific fields. Journal of Informetrics, 12(3), 868–892. https://doi. org/10.1016/j.joi.2018.07.002
- Seglen, P. O. (1992). The skewness of science. Journal of the American Society for Information Science, 43(9), 628–638. https:// doi.org/10.1002/(SICI)1097-4571(199210)43:9<628::AIDASI5> 3.0.CO;2-0
- Soete, L., Schneegans, S., Eröcal, D., Angathevar, B., and Rasiah, R. (2016). A world in search of an effective growth strategy. UNESCO Science Report: Towards 2030.
- van Noorden, R., Maher, B., and Nuzzo, R. (2014). The top 100 papers. Nature News, 514(7524). https://doi. org/10.1038/514550a PMid:25355343