Suppr超能文献

通过文献计量学和可视化分析记录的COVID-19疫苗研究趋势

Trends in Research about COVID-19 Vaccine Documented through Bibliometric and Visualization Analysis.

作者信息

Wei Wei-Ting, Wei Ching-Kuo, Wu Chin-Chu

机构信息

School of Health Care Administration, Taipei Medical University, Taipei 110, Taiwan.

MA Curating Cultures, SOAS University of London, London WC1H 0XG, UK.

出版信息

Healthcare (Basel). 2022 Oct 4;10(10):1942. doi: 10.3390/healthcare10101942.

Abstract

Due to COVID-19, people's lives have changed greatly. In accordance with former experience, an efficacious vaccine is the most effective way to curb the pandemic; thus, many researchers have published related publications in the short term. Hence, this study aims at using bibliometric analysis and visualization to document research trends regarding COVID-19 vaccines, and offer some directions and suggestions for future research. Initially, all eligible publications were downloaded from Web of Science on 1 January 2022. Subsequently, some publications published before December 2019 were removed since COVID-19 did not occur before that date. Finally, Microsoft Excel is used for bibliometric analysis to analyze publication date, author, affiliation, country, publication title, publisher, research area, document type, and language, and visualized software (VOSviewer) is used to visualize author, affiliation, country, and keywords. After analyzing a total of 17,392 publications, the results show that the overall research trend was upward. Moreover, the prominent authors, institutions, and countries inclined towards regional cooperation instead of international cooperation. Furthermore, the most popular research areas were immunology and medicine (general and internal). Ultimately, COVID-19, vaccine, and SARS-CoV-2 were the top 3 keywords. In conclusion, this study shows the approximate research trend for COVID-19 vaccine during the completely first two years of the pandemic. The research focuses moved from safety, effectiveness, and immunology at the early stage to the optimal allocation strategies for COVID-19 vaccine, and eventually to public attitudes and acceptance towards COVID-19 vaccination.

摘要

由于新冠疫情,人们的生活发生了巨大变化。根据以往经验,有效的疫苗是遏制疫情最有效的方法;因此,许多研究人员在短期内发表了相关出版物。因此,本研究旨在利用文献计量分析和可视化方法记录新冠疫苗的研究趋势,并为未来研究提供一些方向和建议。最初,所有符合条件的出版物于2022年1月1日从Web of Science下载。随后,一些2019年12月之前发表的出版物被剔除,因为新冠疫情在此日期之前尚未发生。最后,使用Microsoft Excel进行文献计量分析,以分析出版日期、作者、机构、国家、出版物标题、出版商、研究领域、文献类型和语言,并使用可视化软件(VOSviewer)对作者、机构、国家和关键词进行可视化。在分析了总共17392篇出版物后,结果表明总体研究趋势呈上升趋势。此外,杰出的作者、机构和国家倾向于区域合作而非国际合作。此外最受欢迎的研究领域是免疫学和医学(普通医学和内科学)。最终,新冠、疫苗和严重急性呼吸综合征冠状病毒2是排名前三的关键词。总之,本研究展示了疫情头两年新冠疫苗的大致研究趋势。研究重点从早期的安全性、有效性和免疫学,转向新冠疫苗的优化分配策略,最终转向公众对新冠疫苗接种的态度和接受度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/80f6dd3665b1/healthcare-10-01942-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验