Bibliometric analysis of highly cited publications in health policy and Services

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-01-02 DOI:10.1080/09737766.2020.1816513
Y. Hsu, Ya-Ting Yang, Ming-Huang Wang, Y. Ho
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引用次数: 1

Abstract

The present study is to identify and analyse the characteristics of the highly cited articles in Web of Science category of health policy and services, within the publication year from 1923 to 2017 based on Social Science Citation Index. Highly cited articles that have been cited 100 times or more from Web of Science Core Collection since their publication year to the end of 2017 were analyzed. Publication year, authors, institutions, countries, journals, and citation life cycles were used to evaluate the publication performance of the highly cited articles. Four citation indicators were applied to evaluate highly cited articles. Six publication indicators were also used to compare performance of countries and institutions. A publication performance indicator, the Y-index, was applied to assess publication potential and the characteristics of authors. A relationship between number of articles in each year and their citations per publication by years was proposed for distribution of highly cited articles. Results showed that highly cited articles published in journals with not only higher journal impact factor but also lower one. The US and Harvard University ranked top in six publication indicators respectively. Y-index results showed that J.H. Hibbard had highly cited articles publication potential. In addition, each of the high impact classic articles in 2017 were summarized.
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卫生政策和服务领域高引用出版物的文献计量分析
本研究旨在根据社会科学引文索引,识别和分析1923年至2017年出版年度内卫生政策和服务网络科学类高引用文章的特征。对自2017年底发表以来被科学网核心收藏引用100次或以上的高引用文章进行了分析。使用发表年份、作者、机构、国家、期刊和引用生命周期来评估高引用文章的发表绩效。采用四个引用指标对高引用文章进行评价。还使用了六项出版物指标来比较各国和各机构的业绩。出版绩效指标Y指数用于评估出版潜力和作者的特点。针对高引用文章的分布,提出了每年文章数量与其每次出版物引用次数之间的关系。结果表明,在期刊上发表的高引用文章不仅具有较高的期刊影响因子,而且具有较低的期刊影响因素。美国和哈佛大学分别在六项出版指标中排名第一。Y指数结果表明,J·H·希伯德具有较高的被引文章发表潜力。此外,对2017年每一篇高影响力的经典文章进行了总结。
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来源期刊
COLLNET Journal of Scientometrics and Information Management
COLLNET Journal of Scientometrics and Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
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