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Alkan S, Urkmez F Y. A Bibliometric Analysis Study on Pregnancy and COVID-19. JoMMID 2023; 11 (1) :53-59
URL: http://jommid.pasteur.ac.ir/article-1-510-en.html
Department of Infection Diseases, Onsekiz Mart University, Faculty of Medicine, Canakkale, Turkey
Abstract:   (1197 Views)
Introduction: This quantitative study aims to conduct a literature evaluation on COVID-19 and pregnancy published since September 2022. Methods: The data was retrieved from the Web of Science database. Authors, co-cited authors, publishing journals, keywords, countries, affiliations, H indexes, citation numbers, and connections between these parameters were used to identify and analyze the data. Microsoft Excel was used to assess the descriptive characteristics of publications, and VOSviewer was used to analyze and visualize selected criteria. Results: We extracted 1574 publications on COVID-19 and pregnancy according to search criteria. The majority (81.96%) were published in Science Citation Index Expanded journals, and 670 (42.56%) were published in 2021. Although 100 countries contributed to this topic, the highest number f articles was published by the United States of America (n=473), followed by the United Kingdom, Italy, China, and India. The University of London and Harvard University were the most productive affiliations, and the American Journal of Obstetrics and Gynecology published the most (n=84). The publications received 17,406 citations, an average of 11.06 per document. Conclusion: Since the emergence of COVID-19 and pregnancy, numerous countries, affiliations, and academics have focused on this issue, resulting in a rapid expansion of publications in this field of literature. So far, American, British, and Italian scientists have collaborated the most on COVID-19 and pregnancy research internationally.
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Type of Study: Original article | Subject: Infectious diseases and public health
Received: 2022/11/22 | Accepted: 2023/04/18 | Published: 2023/05/20

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.