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Detecting Research Focus and Research Fronts in the Medical Big Data Field Using Co-word and Co-citation Analysis

机译:使用共词和共引分析法检测医学大数据领域的研究重点和研究前沿

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摘要

This article aims to analyze the papers of medical big data to identify research focus and research fronts from the perspective of bibliometric analysis. Papers of medical big data were searched in the Web of Science database by topic retrieval, and 2286 publications were retrieved. Bibliometric, co-word and co-citation analysis were employed to reveal the characteristics and status in the field of medical big data. The field of medical big data was growing rapidly, especially in recent years. The research focus and research fronts of medical big data were determined by analyzing the keywords and the citations respectively, with co-word analysis and co-citation analysis being taken into consideration. There were eight research focus and ten research fronts in the field of medical big data, which were displayed by visualization software VOSviewer. The results of this study presented an overview of the characteristics of the field of medical big data, and not only provide insights into research focus and research fronts from the angle of informatics, but also serve as important indicators for government policymaking.
机译:本文旨在从文献计量分析的角度分析医学大数据论文,确定研究重点和前沿。通过主题检索,在Web of Science数据库中搜索了医学大数据的论文,并检索了2286种出版物。通过文献计量,共词和共引分析来揭示医学大数据领域的特征和地位。医疗大数据领域正在迅速发展,尤其是近年来。通过分别对关键词和引文进行分析,确定了医学大数据的研究重点和前沿,同时考虑了共词分析和共引分析。通过可视化软件VOSviewer显示的医疗大数据领域共有八个研究重点和十个研究前沿。这项研究的结果概述了医疗大数据领域的特征,不仅从信息学的角度提供了对研究重点和研究前沿的见识,而且还充当了政府决策的重要指标。

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