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抑郁症领域关于生物标志物的被引用次数排名前100的文章:一项文献计量分析。

The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis.

作者信息

Shi Shuzhen, Gao Ya, Sun Yue, Liu Ming, Shao Lihua, Zhang Junhua, Tian Jinhui

机构信息

Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou City, China.

Key Laboratory of Evidence-based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China.

出版信息

Psychol Health Med. 2021 Jun;26(5):533-542. doi: 10.1080/13548506.2020.1752924. Epub 2020 Apr 14.

Abstract

This paper aimed to explore the characteristics of the top-100 cited articles on the biomarkers in the depression field and strive to find the future trend. The top-100 cited articles were selected from the Web of Science Core Collection database. Excel 2016 and VOSviewer 1.6.9 were used to analyze the information. Forty-six journals contributed to these 100 articles, and published the largest number of articles (n = 18). Holsboer F (n = 4) contributed the most, and Maes M (n = 118) was the most co-cited author. Twenty-six countries and 220 organizations contributed to the top-100 articles, respectively. The USA (n = 48) was the main contributor. NIMH and Kings Coll London both participated in seven articles. Major depression (n = 62), depression (n = 38) and biomarker (n = 31) were the top three keywords. These results indicated that articles published in journals with higher impact factors are more likely to spread. Compared with developing countries, developed countries have contributed more to these articles. It is suggested that cooperation should be strengthened between developed countries and developing counties in the future. More research on biomarkers in the depression field may still mainly focus on major depression. WoS = Web of Science; JCR = Journal Citation Reports; UK = United Kingdom; NIMH = The National Institute of Mental Health; UCL = University College London; IF = Impact factor; BDNF = brain-derived neurotrophic factor; USA = United States.

摘要

本文旨在探讨抑郁症领域中被引用次数排名前100的关于生物标志物的文章的特点,并努力找出未来趋势。排名前100的被引用文章是从Web of Science核心合集数据库中选取的。使用Excel 2016和VOSviewer 1.6.9来分析这些信息。46种期刊发表了这100篇文章,其中发表文章数量最多的期刊发表了18篇。Holsboer F(4篇)贡献最多,Maes M(共被引118次)是被引次数最多的作者。26个国家和220个组织分别对排名前100的文章有贡献。美国(48篇)是主要贡献国。美国国立精神卫生研究所(NIMH)和伦敦国王学院都参与了7篇文章。重度抑郁症(62篇)、抑郁症(38篇)和生物标志物(31篇)是排名前三的关键词。这些结果表明,发表在影响因子较高期刊上的文章更有可能传播。与发展中国家相比,发达国家对这些文章的贡献更大。建议未来发达国家和发展中国家之间应加强合作。抑郁症领域关于生物标志物的更多研究可能仍将主要集中在重度抑郁症上。WoS = Web of Science;JCR = 期刊引证报告;UK = 英国;NIMH = 美国国立精神卫生研究所;UCL = 伦敦大学学院;IF = 影响因子;BDNF = 脑源性神经营养因子;USA = 美国

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