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The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis

机译:医学信息学中的前100篇文章:学生分析

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The number of citations that a research paper receives can be used as a measure of its scientific impact. The objective of this study was to identify and to examine the characteristics of top 100 cited articles in the field of Medical Informatics based on data acquired from the Thomson Reuters' Web of Science (WOS) in October, 2016. The data was collected using two procedures: first we included articles published in the 24 journals listed in the "Medical Informatics" category; second, we retrieved articles using the key words: "informatics", "medical informatics", "biomedical informatics", "clinical informatics" and "health informatics". After removing duplicate records, articles were ranked by the number of citations they received. When the 100 top cited articles had been identified, we collected the following information for each record: all WOS database citations, year of publication, journal, author names, authors' affiliation, country of origin and topics indexed for each record. Citations for the top 100 articles ranged from 346 to 7875, and citations per year ranged from 11.12 to 525. The majority of articles were published in the 2000s (n=43) and 1990s (n=38). Articles were published across 10 journals, most commonly Statistics in medicine (n=71) and Medical decision making (n=28). The articles had an average of 2.47 authors. Statistics and biostatistics modeling was the most common topic (n=71), followed by artificial intelligence (n=12), and medical errors (n=3), other topics included data mining, diagnosis, bioinformatics, information retrieval, and medical imaging. Our bibliometric analysis illustrated a historical perspective on the progress of scientific research on Medical Informatics. Moreover, the findings of the current study provide an insight on the frequency of citations for top cited articles published in Medical Informatics as well as quality of the works, journals, and the trends steering Medical Informatics.
机译:研究纸张收到的引文的数量可以用作其科学影响的衡量标准。本研究的目的是识别并审查基于从2016年10月的汤森路透社(WOS)的数据收购的数据,研究了医学信息管理领域的前100名引用物品的特征。使用两个数据收集程序:首先,我们包括在“医学信息学”类别中列出的24个期刊上发表的文章;其次,我们使用关键词检索物品:“信息学”,“医学信息学”,“生物医学信息学”,“临床信息学”和“卫生信息学”。删除重复记录后,文章由他们收到的引文数量进行排名。当识别出100个顶级引用的文章时,我们收集了每个记录的以下信息:所有WOS数据库引文,出版物,刊物,作者姓名,作者的隶属,每个记录所指明的原籍国和主题。前100篇文章的引用范围从346到7875年,每年的引文从11.12到525。大多数条款在2000年代(n = 43)和1990年代(n = 38)发表。文章在10个期刊上发表,最常见的医学统计(n = 71)和医学决策(n = 28)。文章平均为2.47名作者。统计和生物统计学建模是最常见的主题(n = 71),其次是人工智能(n = 12),医疗错误(n = 3),其他主题包括数据挖掘,诊断,生物信息学,信息检索和医学成像。我们的学者计量分析说明了对医学信息学科学研究进展的历史视角。此外,目前研究的调查结果向医疗信息学公布的顶级文章的频率以及作品,期刊和转向医疗信息学趋势的态度提供了洞察力。

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