通讯作者: 钟华, zhong.hua@imicams.ac.cn

DOI：10.12201/bmr.202610.00022

Research on Measuring the Focus of Scientists Based on Chronic Disease Prevention and Control Achievements

• 摘要：目的：构建面向慢病防治成果的科研人员研究聚焦度多层级测度方法，从研究主题集中度、个人与团队方向一致性、个人与机构定位一致性三个层面进行评价，为慢病防治科研机构的人才分类管理和团队优化提供方法学支持。方法：以某心血管疾病研究机构为例，收集76位研究人员1900项科研成果的全量数据。构建涵盖15个心血管研究方向的分类体系，采用方向词典加权自动分类与语义一致性人工复核相结合的双轮收敛标注方法。引入集中度指数测度个人研究主题集中度，构建研究主题一致性分层模型（Thematic Consistency Stratification, TCS）将成果标注为T1（团队方向层）、T2（领域交叉层）、T3（方向偏离层）三个层级，分析聚焦度特征与团队差异。结果：76位研究人员中，高度集中型（CR3≥0.8）占比为59.2%，相对集中型占比为25.0%，分散型占比为15.8）。全机构成果中，T1（团队方向层）占53.6%，T2（领域交叉层）占42.9%，T3（方向偏离层）占3.5%。该机构个人与团队一致性水平差异显著，识别出心律失常和心血管人工智能等相对薄弱方向。T3（方向偏离层）占比超过10%的预警人员6人，超过20%的重点预警人员3人。结论：本方法可有效识别慢病防治科研人员的研究方向分布特征，判断个人与团队匹配状况，以及和机构发展定位的偏离程度，为慢病防治领域的差异化人才管理、科研团队优化布局和重大专项攻关资源配置提供可量化的决策依据。

  关键词： 医学科研人员；研究聚焦度；慢病防治；主题一致性分层；卫生人才管理; ; ; ; 

   

  Abstract: Objective: To establish a multi-level measurement method for research focus among scientists in chronic disease prevention and control, evaluating three dimensions—research topic concentration, alignment between individuals and team directions, and alignment between individuals and institutional positioning—to provide methodological support for talent classification management and team optimization in chronic disease prevention research institutions. Methods: Taking a cardiovascular disease research institution as an example, data on 1,900 research achievements from 76 researchers were collected. A classification system covering 15 cardiovascular research directions was constructed, employing a dual-convergence annotation method combining weighted automatic classification via directional dictionaries and semantic consistency manual review. A concentration index was introduced to measure individual research topic concentration, and a Thematic Consistency Stratification (TCS) model was developed to categorize achievements into three levels: T1 (team direction layer), T2 (interdisciplinary layer), and T3 (direction deviation layer), analyzing focus characteristics and team disparities. Results: Among the 76 researchers, 59.2% exhibited high concentration (CR3≥0.8), 25.0% showed moderate concentration, and 15.8% displayed low concentration. Across the institution’s achievements, T1 (team direction layer) accounted for 53.6%, T2 (interdisciplinary layer) for 42.9%, and T3 (direction deviation layer) for 3.5%. Significant disparities were identified in individual-team alignment, revealing relatively underdeveloped areas such as arrhythmia and cardiovascular artificial intelligence. Six researchers exceeded the 10% threshold in T3 (direction deviation layer), with three classified as high-risk (exceeding 20%). Conclusion: This method effectively identifies the distribution characteristics of research directions among chronic disease prevention scientists, assesses individual-team alignment, and evaluates deviations from institutional development goals, providing quantifiable decision-making support for differentiated talent management, research team optimization, and resource allocation in major specialized projects within the field of chronic disease prevention.

  Key words: Medical researchers; Research focus; Chronic disease prevention and control; Theme consistency stratification; Health talent management

  提交时间：2026-10-12

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2026-07-11	10.12201/bmr.202610.00022V1	下载

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