摘要
[目的/意义]作者自引是学术界常见的现象,是引文分析和科学评价中考虑的重要因素,但如何在科学评价中处理自引一直存在争议.探索作者自引规律能够为适当处理作者自引提供建议.[方法/过程]首先对作者自引相关的研究成果作了梳理,然后使用中国图书情报学领域期刊的数据,以及回归分析等统计学方法在作者和文献层次对作者自引情况进行分析.[结果/结论]实证研究表明,中国图书情报学领域的作者自引行为总体上较少,作者自引频次与其发表文献数量有强正相关性,作者自引对h指数的影响比较小,文献自被引对其被他引频次有正向影响等.
[Purpose/Significance]Author self-citations are a common phenomenon and an important factor to be considered in citation analysis and scientific evaluation.However,how to deal with author self-citations in scientific evaluation has always been controversial.This paper expects to provide suggestions for proper treatment of author self-citations by exploring the principles of author self-citations.[Method/Process]Based on a thorough survey on previous works related to author self-citations,this paper adopted the journal data of library and information science(Chinese literature)and implemented author-and paper-level analyses of author self-citations by using statistical methods such as regression analysis.[Result/Conclusion]Empirical results show that Chinese library and information science researchers tend to have a low rate of author self-citations and that there is a strong positive correlation between the author self-citation frequency and the number of published articles.The paper also observes that author self-citations have limited impact on h-index and that being self-cited may boost the possibility of citations(by others).
作者
李昕雨
雷佳琪
步一
Li Xinyu;Lei Jiaqi;Bu Yi(Department of Information Management,Peking University,Beijing 100871)
出处
《图书情报工作》
CSSCI
北大核心
2022年第20期162-171,共10页
Library and Information Service
基金
国家社会科学基金一般项目"基于全文本分析的数据科学范式及其演化研究"(项目编号:20BTQ054)研究成果之一。
关键词
作者自引
引文分析
图书情报学
科学评价
author self-citation
citation analysis
library and information science
scientific evaluation