2020 年研究大流行:COVID-19 相关出版物及其在最初几个月的科学影响力的文献计量分析。

The 2020 research pandemic: A bibliometric analysis of publications on COVID-19 and their scientific impact during the first months.

机构信息

Department of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City; Institute of Biomedical Sciences, Autonomous University of Ciudad Juárez, Chihuahua, Ciudad Juárez; Mexico.

Department of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.

出版信息

Arch Cardiol Mex. 2021 Dec 20;91(Suplemento COVID):001-011. doi: 10.24875/ACM.20000370.

Abstract

BACKGROUND

The outbreak of COVID-19 has created a landslide of publications, from different sources and unequal impact. We considered that the first 3 months are crucial to understand how knowledge has been generated by performing a bibliometric analysis, including the citations to these articles to guide researchers in exploring this field, and to evaluate the relationship between confirmed COVID-19 cases and deaths with the number of papers per country.

METHODS

Scientific publications were obtained from PubMed (January-March 2020) and their citations during the first 6 months retrieved from the Scopus database. An analysis of the number of papers by country, approach (type and category of publication), and impact was made. A multiple linear regression model was implemented to analyze the correlation between the number of publications and confirmed cases and deaths.

RESULTS

A total of 2,530 publications were analyzed with 59,104 citations (23.4 citations/article), written by authors from 67 countries. China was the country with more publications (988, 39%) and more citations (36,416, 63%) followed by the United States with 423 articles (16.7%) and 7,458 citations (12.6%). The coauthorship network identified 10,756 authors. According to the multivariate analysis, both confirmed cases and deaths were significantly correlated with the number of publications per country (corrected by population size and gross domestic product).

CONCLUSION

The correlation with the number of publications suggests that cases and deaths had some impact on the medical literature, reflecting how rapidly the scientific community has been on the frontline in the fight against COVID-19.

摘要

背景

COVID-19 的爆发产生了大量的出版物,来自不同的来源,影响力也不尽相同。我们认为,了解这些文献是如何产生的,对于理解这一领域至关重要。通过对文献进行计量分析,包括对这些文章的引用,可以指导研究人员探索这一领域,并评估每个国家的确诊病例和死亡人数与论文数量之间的关系。

方法

从 PubMed(2020 年 1 月至 3 月)获取科学出版物,并从 Scopus 数据库中检索前 6 个月的引用。对各国的论文数量、方法(出版物的类型和类别)和影响进行分析。实施了多元线性回归模型来分析出版物数量与确诊病例和死亡人数之间的相关性。

结果

共分析了 2530 篇出版物,引用了 59104 次(每篇文章 23.4 次),作者来自 67 个国家。中国发表的文章数量最多(988 篇,占 39%),引用次数最多(36416 次,占 63%),其次是美国,发表了 423 篇文章(占 16.7%),引用了 7458 次(占 12.6%)。合著网络共识别出 10756 名作者。根据多变量分析,确诊病例和死亡人数与每个国家的论文发表数量均呈显著相关(校正后与人口规模和国内生产总值有关)。

结论

与发表论文数量的相关性表明,病例和死亡人数对医学文献有一定影响,反映了科学界在抗击 COVID-19 方面的迅速反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e0/10161849/f1266b4e462c/ACM-91-1-g001.jpg

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