A Bibliometric Analysis of COVID-19 Research

Yuh-Shan Ho; Andrea Gatto

doi:10.20944/preprints202012.0624.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

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.

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

Social Sciences, Library and Information Sciences

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A Bibliometric Analysis of COVID-19 Research

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