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Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Sep 23, 2020)

Date Submitted: Jul 19, 2020

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Bibliometric analysis of COVID-19 literature

  • Md. Sayeed Al-Zaman

ABSTRACT

This study analyzes N=16384 COVID-19-related literature published between December 2019 to June 2020. The data were extracted from the Web of Science database using four keywords: “COVID-19”, “Coronavirus”, “2019-nCoV”, and “SARS-CoV-2”. The analysis found that almost all but a tiny number of the papers are published in 2020 (95.16%). Of the 15 types of publications, article (40.015%) is on the top of the list. All publications are in 19 different languages where English (95.313%) is the dominant one. A total of 159 countries produce COVID-19-related researches, and the USA (25.433%) is in the leading position. According to the findings, Wang Y (n=94) is the top author, and the British Medical Journal (BMJ) (n=488) is the top source. Also, the University of London (n=488) is the leading organization with the highest number of papers, and medicine-related papers (n=2259) are the highest in numbers. Apart from the novel findings, this study is perhaps the largest COVID-19-related bibliometric analysis to date.


 Citation

Please cite as:

Al-Zaman MS

Bibliometric analysis of COVID-19 literature

JMIR Preprints. 19/07/2020:22644

DOI: 10.2196/preprints.22644

URL: https://preprints.jmir.org/preprint/22644

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