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基于引文网络的学术传承性文献识别方法研究*——以2017年诺贝尔生理学或医学奖为例

郭倩影 杜建 李沛鑫 王雪 唐小利

情报杂志2019,Vol.38Issue(4):90-95,89,7.
情报杂志2019,Vol.38Issue(4):90-95,89,7.DOI:10. 3969/j. issn. 1002-1965. 2019. 04. 014

基于引文网络的学术传承性文献识别方法研究*——以2017年诺贝尔生理学或医学奖为例

A Bibliometric Framework for Identifying Academic Inheritance Papers Based on Citation Network——A Case Study of the 2017 Nobel Prize in Physiology or Medicine

郭倩影 1杜建 1李沛鑫 1王雪 1唐小利1

作者信息

  • 1. 中国医学科学院/北京协和医学院 医学信息研究所 北京 100020
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摘要

Abstract

[Purpose/Significance]Academic inheritance is an objective pattern of academic relationship in a given academic field. The i﹣dentification of Academic Inheritance Papers can promote the quantitative study of the history of science and provide a new perspective for the evaluation of academic influence of papers. [Method/Process]Considering the time and content nature of the papers and the location of the nodes in the citation network, the bibliometric framework 2. 0 for identifying the academic Inheritance paper is constructed, which consists of four dimensions: citation intensity, citation network, citation duration and citation content. The feasibility of the identification framework is verified by comparing the research results and the facts of the related fields in the 2017 Nobel Prize in Physiology or Medi﹣cine. [Result/Conclusion]In general, the framework constructed in this paper can identify Academic Inheritance Papers well. The analysis methods of citation intensity and citation network dimensions can complement each other and identify Academic Inheritance Papers more comprehensively. The citation content can improve the accuracy while guaranteeing a certain coverage, while the indicator of citation dura﹣tion dimension does not perform well.

关键词

学术传承性文献/RPYS/主路径分析/评价性引用

Key words

academic inheritance papers /RPYS/ main path analysis/ evaluative citations

分类

社会科学

引用本文复制引用

郭倩影,杜建,李沛鑫,王雪,唐小利..基于引文网络的学术传承性文献识别方法研究*——以2017年诺贝尔生理学或医学奖为例[J].情报杂志,2019,38(4):90-95,89,7.

基金项目

中国医学科学院医学与健康科技创新工程"医学科技创新评价与卫生服务体系构建研究"(编号:2016-I2M-3-018) (编号:2016-I2M-3-018)

国家自然科学基金项目"睡美人文献及唤醒睡美人的王子文献的识别方法与典型特征研究"(编号:71603280)研究成果之一. (编号:71603280)

情报杂志

OA北大核心CHSSCDCSSCICSTPCD

1002-1965

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