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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
COVID research across the social sciences in 2020: a bibliometric approach
Ryan Thomson1, Rebecca Mosier2, Michelle Worosz1
1Department of Agricultural Economics and Rural Sociology, Auburn University, Auburn, USA.
Abstract:
Research on the COVID-19 pandemic has produced an incredible volume of social science research. To explore the initial areas of COVID-19 scholarship, the following study uses bibliometric co-citation network analysis on data from Clarivate's Web of Science database to analyze 3327 peer-reviewed studies published during the first year of the pandemic and their 107,396 shared references. Findings indicate nine distinct disciplinary research clusters centered around a single medical core of COVID-19 pandemic research. Topics ranging from tourism collapse, fear scales, financial contagion, health surveillance, shifts in crime rates, quarantine psychology, and collective trauma among others are found to have emerged in this initial phase of research as covid spread across the world. A corresponding infodemic highlights early communication challenges and a broader need to thwart misinformation. As this body of work continues to grow across the social sciences, key intersections, shared themes, and long-term implications of this historic event are brought into view.
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