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首页> 外文期刊>International Journal of Environmental Research and Public Health >Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)
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Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

机译：2019年新型冠状病毒疾病的引文网络分析（Covid-19）

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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.
机译：背景：新的冠状病毒病，名为Covid-19的第一次爆发，​​发生在2019年12月底。这种疾病在世界各地迅速传播，美国，巴西和墨西哥是最严重影响的国家。本研究旨在通过引文网络分析不同出版物与其作者之间的关系，以及确定研究领域并确定哪种出版物最为被引用。方法：使用“Covid-19”和“SARS-COV-2”等术语在1月20日至7月2020年期间，通过科学数据库的Web进行搜索。引用网络资源管理器软件用于出版物分析。结果：在网络中产生了42,374个引文，共有14,335个出版物，6月份是出版物数量最多的月份。 Guan等人在2020年4月出版的“中国冠状病毒疾病2019年临床特征”。，在2020年4月出版。使用该领域的不同研究领域，包括临床课程，心理学，治疗和流行病学。聚类功能。结论：引文网络提供了对Covid-19和SARS-COV-2的主要纸张的客观及综合分析。

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