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引文视角下的变革性研究早期识别模型构建方法与应用OA北大核心CHSSCDCSSCICSTPCD

Construction Methods of Transformative Research Early Identification Model and Its Application from a Citation Analysis Perspective

中文摘要英文摘要

[目的/意义]及时精准地识别变革性研究对探索前沿性科学问题发现和提出机制、面向国家高质量发展新格局具有重要意义.[方法/过程]基于变革性研究在广度、强度和速度维度的特征,借助机器学习方法,采用熵权法、因子分析法和回归分析法分别构建了引文视角下的变革性研究识别模型.将上述模型应用于基因靶标、磁阻效应、富勒烯领域以评估不同模型的早期识别效果,并将早期识别效果最高的模型应用于 2017 年分子生物学、聚合物科学和天体物理学领域.[结果/结论]从"排名"和"top%"指标看,基于回归分析法的变革性研究早期识别模型的识别效果优于其他两个模型,识别出的变革性研究排名更靠前,且在发表后第 3 年即可对变革性研究进行识别;该模型在基因靶标和富勒烯领域的识别准确率高于磁阻效应领域.基于回归分析法的变革性研究早期识别模型的准确率、召回率均为 80%,十折交叉验证结果显示该模型的平均得分为 0.764.

[Purpose/Significance]Timely and accurate identification of transformative research is of great signifi-cance for exploring the research frontiers in science,as well as facing the new pattern of high-quality development of the country.[Method/Process]Based on the characteristics of transformative research in the dimensions of breadth,intensity and speed,and by machine learning methods,the entropy weight method,factor analysis method and regression analysis method,the study constructed the transformative research identification model from the perspective of citation.Applied the models above to the fields of gene targets,magnetoresistive effects,fullerenes to evaluate the early recognition effect of dif-ferent models,and applied the model with the highest early recognition effect to the fields of molecular biology,polymer science and astrophysics in 2017.[Results/Conclusions]Judging from the"ranking"and"top%"indicators,the rec-ognition effect of the early recognition model of transformative research based on regression analysis is better than that of the other two models,and the identified transformative research ranks higher,and the transformative research could be identi-fied in the third year after publication.The accuracy of the model in the field of gene targets and fullerenes are higher than in the field of magnetoresistive effect.The accuracy and recall rate of the early recognition model in the transformative study based on regression analysis are 80%,and the average score of the model is 0'764.

梁国强;宋卢睿;侯海燕

北京工业大学经济与管理学院,北京 100124大连理工大学公共管理学院,辽宁 大连 116024

变革性研究引文分析诺贝尔奖科学突破早期识别

transformative researchcitation analysisNobel Prizescientific breakthroughearly identification

《现代情报》 2024 (006)

59-66,81 / 9

国家自然科学基金青年项目"协同进化视角下变革性研究形成机制与识别方法研究"(项目编号:72204014);北京市自然科学基金面上项目"协同进化视角下研究前沿的涌现机制及识别方法研究"(项目编号:9232002);教育部哲学社会科学研究重大课题攻关项目"基础研究领域颠覆性科研成果识别与我国基础研究能力提升研究"(项目编号:22JZD021).

10.3969/j.issn.1008-0821.2024.06.005

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