数字图书馆论坛2019，Vol.4Issue(9)：37-46,10.DOI:10.3772/j.issn.1673-2286.2019.09.006
基于Nbreg模型的SCI论文被引频次影响因素分析*——中日比较研究的视角
Analysis on Factors Affecting Citation Frequency of SCI Articles Based on Negative Binomial Regression Model:From the Perspective of Comparison Between China and Japan
摘要
Abstract
In order to understand the citation frequency of SCI articles comprehensively and seek ways to improve their quality, this paper chooses SCI articles of China and Japan respectively as the research foundation, and a negative binomial regression model is constructed to analyze the influencing factors of the citation frequency in the two countries, then compares the similarities and differences of factors between China and Japan from the three aspects of influence, influence direction and influence degree. The results show that, compared with Japan, when the number of references is more, or the number of authors is more, or the way of cooperation is domestic cooperation, or the language of the paper is mother tongue, or the type of literature is paper/review, the more likely the Chinese SCI papers are cited. Therefore, we can improve the citation frequency of Chinese papers by building more high-level Chinese journals, encouraging team cooperation, etc., so as to enhance the academic influence of scientific research achievements in China.关键词
Nbreg模型/SCI论文/被引频次/影响因素/中日比较Key words
Negative Binomial Regression Model/ SCI Articles/ Citation Frequency/ Impact Factors/ Comparison of China and Japan分类
社会科学引用本文复制引用
张肃,王泽蘅..基于Nbreg模型的SCI论文被引频次影响因素分析*——中日比较研究的视角[J].数字图书馆论坛,2019,4(9):37-46,10.基金项目
本研究得到吉林省社会科学基金2018年度面上项目(编号:2018B41)资助. （编号:2018B41）
