Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Bibliometric Analysis of COVID-19 Research

Version 1 : Received: 23 December 2020 / Approved: 24 December 2020 / Online: 24 December 2020 (13:34:07 CET)

How to cite: Ho, Y.; Gatto, A. A Bibliometric Analysis of COVID-19 Research. Preprints 2020, 2020120624 (doi: 10.20944/preprints202012.0624.v1). Ho, Y.; Gatto, A. A Bibliometric Analysis of COVID-19 Research. Preprints 2020, 2020120624 (doi: 10.20944/preprints202012.0624.v1).

Abstract

COVID-19 breakout calls for immediate research explorations. The objective of this study is to perform a bibliometric analysis of all COVID-19-related publications in Science Citation Index Expanded (SCI-EXPANDED) in the early stage of the outbreak. Analysis parameters include performances of authors, institutes, and countries as well as distributions of Web of Science categories, journals, languages, and types of publications. Results show that 32% of total papers were published as editorial materials and an overwhelming production from Chinese research institutes. An association of research indexes with the number of cases was also found.

Subject Areas

COVID-19; SARS-CoV-2; Coronavirus; Bibliometrics; Outbreak; pandemic; Web of Science Core Collection; WoS

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