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创新情景视角下突破性论文早期识别方法研究

张舒倩 黄山 毛进 李纲

信息资源管理学报2025,Vol.15Issue(6):37-51,15.
信息资源管理学报2025,Vol.15Issue(6):37-51,15.DOI:10.13365/j.jirm.2025.06.037

创新情景视角下突破性论文早期识别方法研究

Early Identification of Breakthrough Papers from the Perspective of Innovation Scenario:An Application in the Biomedical Field

张舒倩 1黄山 1毛进 2李纲2

作者信息

  • 1. 武汉大学信息管理学院,武汉,430072
  • 2. 武汉大学信息管理学院,武汉,430072||武汉大学信息资源研究中心,武汉,430072
  • 折叠

摘要

Abstract

The timely and accurate identification of breakthrough scientific literature is of crucial strategic significance for the efficient allocation of scientific research resources,seizing the initiative in technological development,and enhancing national core competitiveness.However,existing identification methods have limitations such as single-dimensional indicators and insufficient recognition efficiency.From the contextual perspective of knowledge innovation,this study constructs a characteristic system that distinguishes break-through papers from ordinary papers from three aspects:knowledge foundation,research team,and aca-demic attention,and proposes a machine learning-based early identification method for breakthrough papers.Experiments in the field of biomedicine show that the F1-score of the model in this study reaches 0.838,which verifies the effectiveness of the method.Among the factors,early-stage impact,number of refer-ences,and Price Index have the most significant impact on the model's recognition results.This study enri-ches and expands the theoretical framework and methodological system for breakthrough paper identification from the novel perspective of innovation context.

关键词

突破性论文/机器学习模型/早期识别/生物医学领域/知识创新

Key words

Breakthrough papers/Machine learning models/Early recognition/Biomedical field/Knowl-edge innovation

分类

社会科学

引用本文复制引用

张舒倩,黄山,毛进,李纲..创新情景视角下突破性论文早期识别方法研究[J].信息资源管理学报,2025,15(6):37-51,15.

基金项目

本文系国家社会科学基金重大项目"基于数智融合的信息分析方法创新及应用研究"(22&ZD326)的研究成果之一.(This is an outcome of the Major Project"Research on the Innovation and Application of Information Analysis Methods Based on the Integration of Number and Intelligence"(22&ZD326)supported by National Social Science Foundation of China.) (22&ZD326)

信息资源管理学报

2095-2171

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