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基于文献计量的我国科研仪器研究知识结构分析
引用本文:魏明坤,袁伟.基于文献计量的我国科研仪器研究知识结构分析[J].科技管理研究,2022(21).
作者姓名:魏明坤  袁伟
作者单位:中国科学技术信息研究所,中国科学技术信息研究所
摘    要:大科学时代科研仪器与高端科研成果产出存在紧密的联系,科研仪器作为探索自然规律的重要工具,在科研领域的作用不容忽视。本研究从文献计量视角对我国科研仪器研究文献展开分析,通过可视化工具及LDA模型进行文本挖掘揭示科研仪器研究的知识结构。分析发现以科研仪器为主题的文献数量增长迅速,作者合作密度较低,科研仪器研究主题覆盖范围在逐渐扩大,结合人工编码及LDA文本挖掘确定科研工作、科研基础、科研设备以及科研人员4个主题,其中科研工作与科研基础主题在我国科研仪器研究知识结构中占比较多,科研设备与科研人员主题的研究力量薄弱。

关 键 词:科研仪器    LDA模型  文献计量  知识结构
收稿时间:2022/5/19 0:00:00
修稿时间:2022/9/21 0:00:00

Research on knowledge structure of scientific instruments based on bibliometrics
Abstract:In the era of big science, scientific research instruments are closely related to the output of high-end scientific research achievements. As an essential tool to explore the laws of nature, the role of scientific research instruments in scientific research cannot be ignored. In the study, the literature on scientific research instruments in China was analyzed from the perspective of bibliometrics. The knowledge structure of scientific research instruments was revealed through text mining using visual tools and the LDA model. It is found that the number of literature on scientific research instruments is increasing rapidly, the cooperation density of authors is low, and the coverage of research topics on scientific research instruments is expanding continuously. Combining artificial coding and LDA text mining, four themes of scientific research work, scientific research foundation, scientific research equipment, and scientific researchers are determined. Among them, research work and basic research themes account for more in the knowledge structure of scientific research instruments in China. In contrast, the research strength of scientific research equipment and scientific research personnel themes is weak.
Keywords:scientific instrument  LDA model  talent team  knowledge structure
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