过去 50 年脱发症文献的文献计量分析。

Sapir Itzhaki Gabay, Barak Zlakishvili, Amir Horev
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引用次数: 0

摘要

背景:在过去的 50 年中,发表了大量有关斑秃(AA)的文献。本文采用文献计量分析法(BA),以年度引文(AC)和期刊影响因子等标准来识别高质量的研究文章:采用文献计量学分析方法,确定并分析过去 50 年 AA 科学文献中被引用次数最多的前 100 篇文章:方法:使用 Web of Science(webOS)引文索引数据库(2023 年 4 月 4 日)来确定有关 AA 的被引用次数最多的文章。文章按其 AC 排序。然后将数据集细分为通讯作者和资深作者、发表年份、期刊和影响因子、webOS数据库的总引用次数、ACs、所属单位、原籍国、稿件类型、设计、重点以及自2013年以来的使用次数:提取的文章发表于 1975-2019 年间。平均总被引次数介于 67 与 578 之间。被引用次数最多的论文是"托法替尼治疗重度斑秃及其变异型:90名患者的研究",AC值为26.5。大多数论文发表于 1990 年至 1999 年(n=28)。美国皮肤病学会杂志》是发表文章最多的杂志(25 篇)。原创论文的研究重点是治疗(36%)、流行病学(22%)、发病机制(20%)、基础科学(16%)和诊断(6%):这项分析首次提供了详细的文献计量学特征,突出了该领域的全球负担和研究趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bibliometric Analysis of Alopecia Areata Literature over the Past 50 Years.

Background: An extensive body of literature has been published regarding alopecia areata (AA) in the past 50 years. The current paper used a bibliometric analysis (BA) to identify high-quality research articles using criteria such as annual citations (ACs) and journal impact factor.

Objectives: To identify and analyze the top 100 most cited articles in AA scientific literature over the past 50 years using BA methods.

Methods: Web of Science (webOS) citation indexing database was used, on April 4th, 2023, to identify the most cited articles on AA. Articles were ranked by their ACs. Data sets were then subdivided into corresponding and senior authors, year of publication, journal and impact factor, total citations according to webOS database, ACs, affiliation, country of origin, manuscript type, design, focus, and usage count since 2013.

Results: The extracted articles were published between 1975-2019. Mean total citations ranged between 67 and 578. The most cited paper was: "Tofacitinib for the treatment of severe alopecia areata and variants: A study of 90 patients" by Liu et al. with an AC of 26.5. Most publications were published between 1990 and 1999 (n=28). The Journal of the American Academy of Dermatology was the most published journal (25 articles). The research focus of original papers was treatment (36%), epidemiology (22%), pathogenesis (20%), basic science (16%), and diagnosis (6%).

Conclusion: This analysis is the first to provide detailed bibliometric characteristics, highlighting the worldwide burden and research trends in.

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