Research on interdisciplinary measurement and evolutionary path in the field of ophthalmology.

Frontiers in ophthalmology Pub Date : 2025-06-06 eCollection Date: 2025-01-01 DOI:10.3389/fopht.2025.1578956
Lu Chunji, Liu Yuwei, Zhang Fangyuan, Nie Zihan
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引用次数: 0

Abstract

Background: Interdisciplinary collaboration is an inevitable trend in solving complex problems. As medical research deepens, the integration of theories, methods, and technologies from other disciplines with medicine has become an effective means to promote the development of medical research and address issues in the medical field.

Objective: There are significant differences in disciplinary intersections in different subfields of medicine, and this study, using ophthalmology as an example, aims to tap into the complex interrelationships between ophthalmology and other disciplines, to reveal interdisciplinary themes in ophthalmology, and to track the development and evolution of trans-ophthalmologic research.

Methods: This article takes ophthalmology as an example and uses the Rao-Stirling index to calculate the disciplinary distribution of journals cited in the literature of this field. By setting a threshold, it identifies interdisciplinary literature. Based on the LDA model, it conducts topic identification for the interdisciplinary literature to discover the interdisciplinary themes. Furthermore, it analyzes the evolution trends of these themes using the principle of similarity and visualizes the evolutionary paths.

Results: The paper successfully linked 85,401 pieces of literature with WOS subject classifications, involving a total of 250 WOS subjects. The top 10 cited subjects are: Ophthalmology, Neurosciences, Surgery, Multidisciplinary Sciences, Biochemistry & Molecular Biology, Psychology, Medicine: Genetics & Heredity, Cell Biology, Genetics & Heredity, Clinical Neurology. A total of 18,573 pieces of literature with a Rao-Stirling index greater than 0.7 were selected as high interdisciplinary literature in Ophthalmology. The literature was divided into time slices of two years each, and scores for thematic coherence and thematic perplexity were calculated. Ultimately, twelve themes were identified for 2014-2015, eleven themes for 2016-2017, eleven themes for 2018-2019, ten themes for 2020-2021, and nine themes for 2022-2023. Based on the calculation of thematic similarity, three main evolutionary paths were summarized. The evolutionary paths are: "1-1, 1-2, 1-3, 1-5, 1-6, 1-9,1-10→2-1, 2-4, 2-7, 2-8, 2-9, 2-10→3-4, 3-8, 3-10→4-1, 4-5, 4-8, 4-10→5-5, 5-8, 5-9", "1-1, 1-2, 1-3, 1-5, 1-6, 1-9,1-10→2-1, 2-4, 2-7, 2-8, 2-9, 2-10→3-4, 3-8, 3-10→4-1, 4-5, 4-8, 4-10→5-5, 5-8, 5-9".

Conclusions: This study conducts a comprehensive analysis of interdisciplinary themes in ophthalmology through the application of the Rao-Stirling index and the LDA model, revealing trends of multidisciplinary collaboration and evolving topics. To facilitate the integration of these themes, the research proposes several recommendations: first, to promote interdisciplinary collaboration in order to establish an innovative ecosystem that spans various fields; second, to develop a systematic funding framework for research and enhance the evaluation system for interdisciplinary projects; third, to implement reforms in ophthalmic education aimed at strengthening the cultivation of interdisciplinary talent; and fourth, to expand the scope of academic journal inclusions by establishing dedicated sections for interdisciplinary research.

眼科学领域跨学科测量与进化路径研究。
背景:跨学科合作是解决复杂问题的必然趋势。随着医学研究的深入,其他学科的理论、方法和技术与医学的融合已成为促进医学研究发展和解决医学领域问题的有效手段。目的:不同医学分支领域的学科交叉存在显著差异,本研究以眼科学为例,旨在挖掘眼科学与其他学科之间复杂的相互关系,揭示眼科学的跨学科主题,追踪跨眼科学研究的发展与演变。方法:以眼科学为例,采用Rao-Stirling指数计算该领域文献被引期刊的学科分布。通过设置阈值,它识别跨学科文献。基于LDA模型,对跨学科文献进行主题识别,发现跨学科主题。在此基础上,运用相似性原理分析了这些主题的演化趋势,并将其演化路径可视化。结果:本文成功链接WOS学科分类文献85401篇,共涉及250个WOS学科。被引用前10名的学科是:眼科学、神经科学、外科学、多学科科学、生物化学与分子生物学、心理学、医学:遗传学与遗传、细胞生物学、遗传学与遗传、临床神经病学。选取Rao-Stirling指数大于0.7的文献18,573篇作为眼科学高交叉文献。文献被分成每两年的时间片,并计算主题连贯性和主题困惑的分数。最终确定了2014-2015年的12个主题,2016-2017年的11个主题,2018-2019年的11个主题,2020-2021年的10个主题,2022-2023年的9个主题。在主题相似度计算的基础上,总结了三种主要的进化路径。进化路径:“1 - 1、1 - 2、1 - 3、1 - 5、1 - 6、1 - 9,1→2 - 1、2 - 4、2 - 7日,2 - 8,2 - 9,2 - 10→3 - 4、3 - 8,3 - 10→4 - 1、4 - 5、4 - 8人,十→盘中,5 - 8,5 - 9”,“1 - 1、1 - 2、1 - 3、1 - 5、1 - 6 - 1→2 - 1、2 - 4、2 - 7日,2 - 8,2 - 9,2 - 10→3 - 4、3 - 8,3 - 10→4 - 1、4 - 5、4 - 8人,十→盘中,5 - 8,5 - 9”。结论:本研究运用Rao-Stirling指数和LDA模型对眼科学跨学科主题进行了综合分析,揭示了多学科合作的趋势和主题的演变。为了促进这些主题的整合,本研究提出了几点建议:第一,促进跨学科合作,以建立跨越各个领域的创新生态系统;第二,建立系统的研究资助框架,加强跨学科项目的评估体系;三是实施以加强跨学科人才培养为目标的眼科教育改革;第四,通过建立跨学科研究专区,扩大学术期刊的收录范围。
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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