Impact of COVID-19 Pandemic on Biomedical Publications and Their Citation Frequency

Sooyoung Park · Hyun Jeong Lim · Jaero Park · Yeon Hyeon Choe

20 citations0/0 files storedJournal of Korean Medical Science

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scientometrics and bibliometrics research Academic Publishing and Open Access Psychology Research and Bibliometrics

Abstract

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has resulted in enormous related publications. However, the citation frequency of these documents and their influence on the journal impact factor (JIF) are not well examined. We aimed to evaluate the impact of COVID-19 on biomedical research publications and their citation frequency. METHODS: We searched publications on biomedical research in the Web of Science using the search terms "COVID-19," "SARS-Cov-2," "2019 corona*," "corona virus disease 2019," "coronavirus disease 2019," "novel coronavirus infection" and "2019-ncov." The top 200 journals were defined as those with a higher number of COVID-19 publications than other journals in 2020. The COVID-19 impact ratio was calculated as the ratio of the average number of citations per item in 2021 to the JIF for 2020. RESULTS: < 0.001) than 33 Korean journals with a lower COVID-19 impact ratio. CONCLUSION: COVID-19 pandemic infection has significantly impacted the trends in biomedical research and the citation of related publications.

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2021Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production 2020Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak 2020Scientific quality of COVID-19 and SARS CoV-2 publications in the highest impact medical journals during the early phase of the pandemic: A case control study 2020A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis 2020Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study 2020Early Research on COVID-19: A Bibliometric Analysis 2021Inconsistent and incomplete retraction of published research: A cross-sectional study on Covid-19 retractions and recommendations to mitigate risks for research, policy and practice 2021Research done wrong: A comprehensive investigation of retracted publications in COVID-19

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