Coronavirus infection study: bibliometric analysis of publications on COVID-19 using PubMed and Dimensions databases

Abstract

Information about the disease COVID-19 today dominates over any other and is accompanied by many publications.Bibliometrics is a modern tool for the analysis of publication activity.This article describes the results of bibliometric analysis and visualization of an array of publications [1] related to the new type and previous types of coronavirus.Some patterns have been identified.Analysis of publications in the PubMed database made it possible to isolate and cluster terms related to research on coronavirus infections.The most common keywords in PubMed are "coronavirus" and "COVID-19".Analysis of citation of publication activity during 2019-2020 on the topic of "coronavirus" based on the Dimensions database showed that although the authors of the most cited publications are Chinese doctors and researchers, these articles are published in journals in the UK and USA.A temporal analysis of citation showed that prior to the pandemic, journals published in the Netherlands and the United Kingdom were widely cited, while journals published in the United States were most actively cited during the COVID-19 pandemic.The most cited authors include specialists in the field of virology, immunology, medicine, working in Europe, Hong Kong, USA.

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.