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Understanding Nobel Prize-Winning Articles:A Bibliometric Analysis


Affiliations
1 WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, China
2 School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408, United States
3 School of Software, Dalian University of Technology, Dalian, Liaoning 116620, China
 

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.
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  • Understanding Nobel Prize-Winning Articles:A Bibliometric Analysis

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Authors

Guoqiang Liang
WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, China
Haiyan Hou
WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, China
Peili Ren
WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, China
Yi Bu
School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408, United States
Xiangjie Kong
School of Software, Dalian University of Technology, Dalian, Liaoning 116620, China
Zhigang Hu
WISE Lab, Dalian University of Technology, Dalian, Liaoning 116023, China

Abstract


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.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi3%2F379-385