This study aimed to evaluate the tendency of insomnia articles in SCI-EXPANDED database. Data was obtained from the online version of Science Citation Index Expanded (SCI-EXPANDED) database in the Web of Science Core Collection of Clarivate Analytics within the publication year from 1991 to 2018. The publications were assessed regarding their document types, languages, and journals. We used three citation indicators such as C₂₀₁₈, TC₂₀₁₈, and CPP₂₀₁₈ to determine the citation received by publications. We used the Y-index method formulated by Ho. The study found 16,478 insomnia documents within 15 document types indexed in the Web of Science, and articles type was used most constituting 66% (10,801) of the documents. Ninety-five percent of the articles were published in English. The journal of Sleep published most of the insomnia article then followed by Sleep Medicine. The 30% of 10,801 articles were published in the top category of clinical neurology. The G7 countries published most of the insomnia articles. The most productive country and institution was United States and Harvard University respectively. The article entitled “A new method for measuring daytime sleepiness: The Epworth sleepiness scale” published by Johns in 1991was the most cited article with TC₂₀₁₈ of 7,191 and C₂₀₁₈ of 661 citations. The most industrious and had more potential to published insomnia articles was M.M. Ohayon. Moreover, the study showed that most of the insomnia articles were related to depression, anxiety, cancer, and schizophrenia. Insomnia is a serious problem with synergistic effects for normal body health. Bibliometric method can help researchers to have comprehensive knowledge on insomnia and initiate an orientation for further research so as to solve a problem. Furthermore, it may also help researchers to determine the impact of insomnia publications as well as to identify relevant research groups in the field of insomnia.

本研究旨在评估SCI-EXPANDED数据库中失眠文章的趋势。数据来自 1991 年至 2018 年出版年度内 Clarivate Analytics 的科学核心合集的科学引文索引扩展 (SCI-EXPANDED) 数据库的在线版本。 对出版物进行了评估，包括其文档类型、语言和期刊. 我们使用C ₂₀₁₈、TC ₂₀₁₈和CPP ₂₀₁₈三个引用指标来确定出版物收到的引用。我们使用了Y- 由 Ho 制定的指数方法。该研究发现，在 Web of Science 索引的 15 种文档类型中，有 16,478 篇失眠文档，其中文章类型使用最多，占文档的 66% (10,801)。百分之九十五的文章以英文发表。睡眠杂志发表了大部分失眠文章，然后是睡眠医学。10,801 篇文章中有 30% 发表在临床神经病学的顶级类别中。G7国家发表了大部分失眠文章。生产力最高的国家和机构分别是美国和哈佛大学。Johns 1991年发表的题为“A new method for measure daytime sleepiness: The Epworth sleepiness scale”的文章是TC ₂₀₁₈被引用次数最多的文章7,191 和C ₂₀₁₈的 661 引用。最勤奋和更有潜力发表失眠文章的是MM Ohayon。此外，研究表明，大多数失眠文章与抑郁症、焦虑症、癌症和精神分裂症有关。失眠是一个严重的问题，对正常的身体健康有协同作用。文献计量法可以帮助研究人员对失眠有全面的认识，并为进一步的研究提供方向，以解决问题。此外，它还可以帮助研究人员确定失眠出版物的影响，以及确定失眠领域的相关研究小组。