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Bibliometric analysis of highly cited publications in health policy and Services
COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-01-02 , DOI: 10.1080/09737766.2020.1816513
Y-Hsin Elsa Hsu, Ya-Ting Yang, Ming-Huang Wang, Yuh-Shan Ho

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.

中文翻译:

卫生政策和服务领域高引用出版物的文献计量分析

本研究旨在基于社会科学引文索引,识别和分析 1923 年至 2017 年出版年度内卫生政策和服务 Web of Science 类别中高被引文章的特征。分析了自出版年份到 2017 年底在 Web of Science 核心合集中被引用 100 次或更多的高被引论文。发表年份、作者、机构、国家、期刊和引用生命周期被用来评估高被引文章的发表表现。应用四个引文指标来评估高被引文章。六项出版指标也被用来比较国家和机构的表现。出版绩效指标,Y 指数,用于评估发表潜力和作者特征。提出了每年文章数量与其每篇出版物的引用次数之间的关系,用于高被引文章的分布。结果表明,高被引文章不仅发表在期刊影响因子较高而且影响因子较低的期刊上。美国和哈佛大学分别在六项发表指标中名列前茅。Y-index 结果表明,JH Hibbard 具有高被引论文发表潜力。此外,还对2017年的每篇高影响力经典文章进行了总结。结果表明,高被引文章不仅发表在期刊影响因子较高而且影响因子较低的期刊上。美国和哈佛大学分别在六项发表指标中名列前茅。Y-index 结果表明,JH Hibbard 具有高被引论文发表潜力。此外,还对2017年的每篇高影响力经典文章进行了总结。结果表明,高被引文章不仅发表在期刊影响因子较高而且影响因子较低的期刊上。美国和哈佛大学分别在六项发表指标中名列前茅。Y-index 结果表明,JH Hibbard 具有高被引论文发表潜力。此外,还对2017年的每篇高影响力经典文章进行了总结。
更新日期:2020-01-02
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