合著论文作者贡献度评价方法研究综述  

Literature Review on Evaluating Methods Research of Coauthor Contributions

作　　者：薛杰 李涵昱 吴振新[1,2] XUE Jie;LI Hanyu;WU Zhenxin(National Science Library,Chinese Academy of Sciences,Beijing,100190;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing,100190)

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学院大学经济与管理学院信息资源管理系,北京100190

出　　处：《图书情报知识》2024年第2期100-109,共10页Documentation,Information & Knowledge

基　　金：国家社会科学基金重大项目“大数据驱动的科技文献语义评价体系研究”(21&ZD329);国家重点研发计划项目“科技文献内容深度挖掘及智能分析关键技术和软件”(2022YFF0711900)的研究成果之一。

摘　　要：[目的/意义]通过文献调研梳理合著论文作者贡献度评价方法,总结研究不足及未来发展方向,为后续开展科技人才评价相关研究提供参考。[研究设计/方法]在Web of Science、Springe Link和CNKI等学术平台检索2010-2023年间发表的合著论文作者贡献度评价方法的研究文献,从传统评价方法、基于作者贡献声明的评价方法和基于科研产出的评价方法三个方面对文献进行归纳梳理。[结论/发现]合著论文作者贡献度评价方法已经取得了丰富的研究成果,但仍存在一些不足之处。未来的研究应从多方面出发考虑,进一步探索作者研究领域、作者学术关键词等学术背景因素对合著论文参与程度的影响,深入挖掘引文语义特征关系,以及加强对新模型及机器学习、深度学习算法的应用。[创新/价值]揭示了合著论文作者贡献度评价方法的发展进程与特点,阐述了合著论文作者贡献度评价方法的未来发展方向。[Purpose/Significance]To provide reference for the follow-up research on the evaluation of scientific and technological talents,this paper aims to conduct a literature survey on evaluating methods research of coauthor contributions,and summarize the shortcomings and the future development directions of the research.[Design/Methodology]We searched relevant literature in academic platforms:Web of Science,Springe Link and CNKI from 2010 to 2023,summarized and combs the literature from three aspects:traditional evaluation method,the evaluation method based on author contribution statement and the evaluation method based on research output.[Findings/Conclusion]Although a wealth of research outputs in the field of the evaluation methods of coauthor contributions have been obtained,but there are still some deficiencies.The future research should be carried out considering many aspects:further exploring the influence of academic background factors,such as the author's research field and academic keywords,digging deep into the semantic feature relationship of citations,and strengthening the application of new models and new algorithms,such as machine learning,deep learning et al.[Originality/Value]This article reveals the development process,characteristics of the evaluation methods research of coauthor contributions,and further expounds its future development direction.

关 键 词：合著论文 作者贡献 文献计量 贡献度评价 科研评价 

分 类 号：G250[文化科学—图书馆学]