研究药理学领域的部门间知识转移

IF 3.5 3区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Scientometrics Pub Date : 2024-05-18 DOI:10.1007/s11192-024-05040-0
Arida Ferti Syafiandini, Jeeyoung Yoon, Soobin Lee, Chaemin Song, Erjia Yan, Min Song
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引用次数: 0

摘要

了解知识转移模式对于为创新和支持经济增长提供有价值的见解至关重要。我们的研究通过分析科学网数据库文章中部门类别、附属机构和生物医学实体之间的引文关联和合作信息,确定了 2000 年至 2019 年药理学领域知识转移的主要贡献者和模式。我们的主要贡献在于绘制了知识转移流程图,并确定了药理学领域知识转移的主要贡献者。我们将附属机构人工分为四个部门类别,以观察知识转移模式。随后,我们从三个层面进行了引文关联分析:部门类别、机构名称和生物医学实体。结果显示,学术机构对药理学领域的知识转移贡献最大,其次是商业机构和政府机构。虽然大部分知识转移源自学术机构,但我们的研究也发现了从商业部门到学术部门以及从政府部门到学术部门的显著转移。通过对疾病、药物和基因进行命名实体分析,我们发现药理学领域的研究主要集中在与癌症、慢性疾病和神经退行性疾病有关的课题上。
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Examining between-sectors knowledge transfer in the pharmacology field

Understanding knowledge transfer patterns is essential in providing valuable insights for shaping innovations and supporting economic growth. Our study identifies the main contributors and patterns of knowledge transfer within the pharmacology field from 2000 to 2019 by analyzing citation linkage and collaborative information between sector categories, affiliated institutions, and biomedical entities in articles from the Web of Science database. Our main contribution is mapping the knowledge transfer flow and identifying the main contributors to knowledge transfer within the pharmacology domain. We manually categorized affiliated institutions into four sector categories to observe knowledge transfer patterns. Subsequently, we performed a citation linkage analysis at three levels: sector categories, institution names, and biomedical entities. The results show that academic institutions are the most significant contributors to knowledge transfer in the pharmacology field, followed by commercial and government institutions. Although the majority of knowledge transfers originated from academic institutions, our study uncovered notable transfers from commercial to academic sectors and from government to academic sectors. Through named entity analysis on diseases, drugs, and genes, we found that research in the pharmacology field predominantly concentrates on subjects pertaining to cancers, chronic diseases, and neurodegenerative disorders.

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来源期刊
Scientometrics
Scientometrics 管理科学-计算机:跨学科应用
CiteScore
7.20
自引率
17.90%
发文量
351
审稿时长
1.5 months
期刊介绍: Scientometrics aims at publishing original studies, short communications, preliminary reports, review papers, letters to the editor and book reviews on scientometrics. The topics covered are results of research concerned with the quantitative features and characteristics of science. Emphasis is placed on investigations in which the development and mechanism of science are studied by means of (statistical) mathematical methods. The Journal also provides the reader with important up-to-date information about international meetings and events in scientometrics and related fields. Appropriate bibliographic compilations are published as a separate section. Due to its fully interdisciplinary character, Scientometrics is indispensable to research workers and research administrators throughout the world. It provides valuable assistance to librarians and documentalists in central scientific agencies, ministries, research institutes and laboratories. Scientometrics includes the Journal of Research Communication Studies. Consequently its aims and scope cover that of the latter, namely, to bring the results of research investigations together in one place, in such a form that they will be of use not only to the investigators themselves but also to the entrepreneurs and research workers who form the object of these studies.
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