Wang Guangxin, Bai Lian, Zhao Mingxue, Wang Shumei
Shandong Innovation Center of Intelligent Diagnosis, Jinan Central Hospital, Shandong University, Jinan, China.
Department of Pediatics, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Front Neurol. 2022 Oct 24;13:1034070. doi: 10.3389/fneur.2022.1034070. eCollection 2022.
BACKGROUND: A large number of papers regarding coronavirus disease 2019 (COVID-19) and epilepsy have been published since the declaration of the COVID-19 pandemic. However, there is no bibliometric analysis on these papers. In this study, we aimed to analyze the bibliometric characteristics of these papers, thus identifying the trends and future directions of COVID-19 and epilepsy research. METHODS: Scientific papers regarding COVID-19 and epilepsy were retrieved through searches of the Web of Science Core Collection database. Title, authors, contributing institute, country, source journal, times cited, and additional information were extracted from each selected paper. Microsoft Excel 2019 and GraphPad Prism 8 were used to analyze the extracted data and export the bar charts and tables whilst VOSviewer software was used to perform and visualize co-authorship analysis and co-occurrence analysis of keywords. RESULTS: A total of 317 papers regarding COVID-19 and epilepsy were included in the final analysis. published the largest number of papers ( = 84). J. Helen Cross and Naoto Kuroda were the most prolific authors ( = 13 each). The United States ( = 88) and the University of London ( = 23) were the country and organization with the most contributions, respectively. The strongest authors' collaborations were between Giovanni Assenza and Jacopo Lanzone and between J. Helen Cross and Nathalie Jette. Selected author keywords were organized into seven clusters, and the keywords in clusters 1 and cluster 4 had the largest average appearing year of any clusters. CONCLUSION: This is the first bibliometric analysis of papers regarding COVID-19 and epilepsy. Our results showed that the United States was the leading country whilst J. Helen Cross was the most influential scholar in COVID-19 and epilepsy research. psychological consequences of COVID-19, and the safety of COVID-19 vaccines for people with epilepsy, are possible areas for future research on COVID-19 and epilepsy.
背景:自2019冠状病毒病(COVID-19)大流行宣布以来,已经发表了大量关于COVID-19和癫痫的论文。然而,尚未对这些论文进行文献计量分析。在本研究中,我们旨在分析这些论文的文献计量特征,从而确定COVID-19和癫痫研究的趋势和未来方向。 方法:通过检索科学网核心合集数据库获取关于COVID-19和癫痫的科学论文。从每篇入选论文中提取标题、作者、所属机构、国家、来源期刊、被引次数及其他信息。使用Microsoft Excel 2019和GraphPad Prism 8分析提取的数据并导出柱状图和表格,同时使用VOSviewer软件进行关键词的合著分析和共现分析并进行可视化展示。 结果:最终分析共纳入317篇关于COVID-19和癫痫的论文。发表论文数量最多( = 84)。J. Helen Cross和Naoto Kuroda是发文量最高的作者(均为 = 13)。美国( = 88)和伦敦大学( = 23)分别是贡献最大的国家和机构。作者之间最强的合作关系存在于Giovanni Assenza与Jacopo Lanzone之间以及J. Helen Cross与Nathalie Jette之间。选定的作者关键词被分为七个聚类,聚类1和聚类4中的关键词平均出现年份在所有聚类中最大。 结论:这是首次对关于COVID-19和癫痫的论文进行文献计量分析。我们的结果表明,美国是领先国家,而J. Helen Cross是COVID-19和癫痫研究中最具影响力的学者。COVID-19的心理影响以及COVID-19疫苗对癫痫患者的安全性,可能是未来COVID-19和癫痫研究的领域。
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