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Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

Author

Listed:
  • Clara Martinez-Perez

    (School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain)

  • Cristina Alvarez-Peregrina

    (School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain)

  • Cesar Villa-Collar

    (School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain)

  • Miguel Ángel Sánchez-Tena

    (School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain)

Abstract

Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

Suggested Citation

  • Clara Martinez-Perez & Cristina Alvarez-Peregrina & Cesar Villa-Collar & Miguel Ángel Sánchez-Tena, 2020. "Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)," IJERPH, MDPI, vol. 17(20), pages 1-27, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7690-:d:432430
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    References listed on IDEAS

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    1. Pilar Aparicio-Martinez & Alberto-Jesus Perea-Moreno & María Pilar Martinez-Jimenez & María Dolores Redel-Macías & Manuel Vaquero-Abellan & Claudia Pagliari, 2019. "A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People," IJERPH, MDPI, vol. 16(20), pages 1-25, October.
    2. Loet Leydesdorff, 2006. "Can scientific journals be classified in terms of aggregated journal‐journal citation relations using the Journal Citation Reports?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(5), pages 601-613, March.
    3. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    4. Simone Belli & Rogério Mugnaini & Joan Baltà & Ernest Abadal, 2020. "Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2661-2685, September.
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