全球个性化医学生物标志物研究的文献计量和语义分析

Q3 Medicine

Open Biomarkers Journal Pub Date : 2022-09-26 DOI:10.2174/18753183-v12-e220926-2022-3

Aida Khakimova, F. Rahim, O. Zolotarev

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引用次数: 0

摘要

该研究的目的是研究个性化医学中生物标志物领域流行文章的引用历史，研究文章章节中术语的使用，并考虑被引用最多文章的关键术语及其可视化。本文描述了基于科学网络数据分析生物标志物和个性化医学领域出版活动的方法。本研究的目的是对生物标志物在个性化医学中的应用相关的研究领域进行文献计量和语义分析。对一些出版物及其引文进行了评估。从引用次数最多的文章中提取的关键术语被分为专题组。估计了自2011年以来最受欢迎的文章的引用次数。考虑了前十篇文章的引文历史。对被引用最多文章不同部分的关键术语的分析包括统计数据和主题排名。将引用次数最多的文章和引用文章中的关键术语进行比较，可以表明引用文章的关键术语延伸到引用文章。我们将被引用最多的文章中的关键术语作为术语图。个性化医学和生物标志物领域文章的引用研究是基于科学网络上的一项调查。在分析大量引文的基础上，构建了引文趋势和引文历史。对文章不同章节中关键词的使用进行了统计和专题分析。我们已经表明，引用的文章传播了引用文章的关键术语，以确定知识发展的趋势，这可以作为术语图来呈现。我们根据提出的原则，以个性化医学中生物标志物领域最新发展的术语图的形式展示了结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bibliometric and Semantic Analysis of the Global Research on Biomarkers in Personalized Medicine

The aims of the research were to study the citation history of popular articles in the field of biomarkers in personalized medicine, to study the use of terms in the sections of articles, and to consider the key terminology of the most-cited articles and its visualization. The article describes approaches to the analysis of publication activity in the field of biomarkers and personalized medicine based on the data from the Web of Science. The aim of this study is a bibliometric and semantic analysis of the investigation field related to the application of biomarkers for the purposes of personalized medicine. The evaluation of a number of publications and its’ citations was carried out. The key terms extracted from the most-cited articles were divided into thematic groups. The number of citations of the most popular articles since 2011 was estimated. The citation histories of the top ten articles were considered. Analysis of key terms from different parts of the most-cited articles included statistics and thematic ranking. The comparison of key terms from the most-cited article and the citing articles allowed us to show that the key terminology of the cited article extends to the citing articles. We presented the key terms of the most-cited articles as a terminological map. The study of citation of the articles in the field of personalized medicine and biomarkers was based on a survey on the Web of Science. Based on the analysis of a number of citations the trends and citation histories were constructed. The statistical and thematic analysis of the use of keywords in different sections of articles was done. We have shown that the citing articles spread the key terms of the cited article to identify trends in knowledge development which could be presented as a terminological map. We presented the results in the form of a terminological map of the latest developments in the field of biomarkers in personalized medicine based on proposed principles.

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来源期刊

Open Biomarkers Journal Medicine-Medicine (miscellaneous)

CiteScore

0.80

自引率

0.00%

发文量

期刊介绍： The Open Biomarkers Journal is an Open Access online journal, which publishes original full-length, short research articles and reviews on biomarkers in clinical, medical and pharmaceutical research. The coverage includes biomarkers of disease, new biomarkers, exposure to drugs, genetic effects, and applications of biomarkers. The Open Biomarkers Journal, a peer reviewed journal, aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and freely available to researchers worldwide.