Documentation, Informaiton & Knowledge ›› 2024, Vol. 41 ›› Issue (2): 100-109.doi: 10.13366/j.dik.2024.02.100

• Intelligence, Information & Sharing • Previous Articles     Next Articles

Literature Review on Evaluating Methods Research of Coauthor Contributions

XUE Jie1,2, LI Hanyu1, WU Zhenxin1,2   

  1. 1.National Science Library, Chinese Academy of Sciences, Beijing, 100190;
    2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190
  • Online:2024-03-10 Published:2024-05-14
  • Contact: Correspondence should be addressed to LI Hanyu ,, ORCID:0000-0003-1426-3242
  • Supported by:
    This is an outcome of the Major Project "Big Data-Driven Research on Semantic Evaluation System of Scientific and Technological Literature"(21&ZD329)supported by National Social Science Foundation of China and the project "Key Technologies and Software for Deep Mining and Intelligent Analysis of Scientific and Technological Literature Content"(2022YFF0711900)supported by a grant from National Key R&D Program of China.

Abstract: [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.

Key words: Co-authored papers, Author contribution, Bibliometrics, Contribution evaluation, Research evaluation