Abstract
AbstractThis study analyzesN=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 these novel findings, this study is perhaps the largest COVID-19-related bibliometric analysis to date.
Publisher
Cold Spring Harbor Laboratory
Reference18 articles.
1. Chahrour, M. , Assi, S. , Bejjani, M. , Nasrallah, A. A. , Salhab, H. , Fares, M. Y. , & Khachfe, H. H. (2020). A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output. Cureus. https://doi.org/10.7759/cureus.7357
2. Visual analysis of coronavirus disease 2019 (COVID-19) studies based on bibliometrics];Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica,2020
3. Against COVID-19 Pandemic: Bibliometric Assessment of World Scholars’ International Publications related to COVID-19;Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia,2020
4. Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis
5. Bibliometric analysis of global scientific research on Coronavirus (COVID-19);Medical Journal of the Islamic Republic of Iran,2020
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