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Hou, Haiyan
- Research Preferences of the G20 Countries:A Bibliometrics and Visualization Analysis
Abstract Views :233 |
PDF Views:80
Authors
Affiliations
1 WISE Lab, Dalian University of Technology, Dalian, CN
1 WISE Lab, Dalian University of Technology, Dalian, CN
Source
Current Science, Vol 115, No 8 (2018), Pagination: 1477-1485Abstract
The purpose o f this study is to reveal the differences both in research output and research preferences o f the G20 countries. The research outputs o f the nineteen G20 countries (excluding the European Union) are measured based on their publications indexed in Web of Science. The research preferences o f the G20 countries were studied by comparing their research output in each research subject. Clustering method was then employed to classify the countries according to their research preferences. Nineteen countries are classified into four clusters. Countries assigned to the same cluster are similar in distribution of research subjects. In the end, by VOSviewer, we showed the research pattern o f each cluster. For example, USA in Cluster A is characterized by the emphasis on medical sciences and China in Cluster C is characterized by paying more attention to physical sciences.Keywords
Bibliometrics, Country-Level Studies, G20 Countries, Research Preferences, VOSviewer.Full Text
References
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- Understanding Nobel Prize-Winning Articles:A Bibliometric Analysis
Abstract Views :281 |
PDF Views:72
Authors
Affiliations
1 WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, CN
2 School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408, US
3 School of Software, Dalian University of Technology, Dalian, Liaoning 116620, CN
1 WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, CN
2 School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408, US
3 School of Software, Dalian University of Technology, Dalian, Liaoning 116620, CN
Source
Current Science, Vol 116, No 3 (2019), Pagination: 379-385Abstract
In the present study, we have collected all Nobel Prize-winning articles in the field of Physiology or Medicine from the Web of Science and highlighted the journal impact distribution of these articles. We then explored reference information to understand the articles referenced by the prize-winning papers. Results show that (1) the prize-winning papers cite a large number of journals which have relatively low impact factors and not all prize-winning papers were published in high-quality journals; (2) Method, such as refined experimental techniques, laboratory manuals, etc., is the most popular article type that has been cited; (3) The prize-winning papers, especially recently published ones, show an increasing trend to cite earlier published articles as references.Keywords
Bibliometric Analysis, Normal and Revolutionary Science, Nobel Prize-Winning Articles, Reference Information.Full Text
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