摘要
[目的/意义]近年来,热点论文逐渐受到学术界重视,为数不多的研究成果已开始探索热点论文自身的特征,但在影响因素等规律方面的研究工作尚不充分。[方法/过程]本研究利用TF-IDF算法和负二项回归模型,试图探究热点论文的分布特征、影响因素、时间窗口差异和学科类型差异。[结果/结论]研究结果表明,热点论文的分布特征侧重于发达国家、知名研究机构、交叉学科和权威期刊;并且受到精炼的标题、国家间合作、研究型产出、开放获取、高影响因子期刊等因素影响;热点论文存在时间窗口效应,甚至改变了标题、摘要、开放获取等因素影响热点论文的具体轨迹;学科间差异对热点论文具有影响,在标题、摘要、科研合作、文献类型、开放获取、期刊影响因子方面均存在差异。
[ Purpose/significance ] In recent years, hot papers have been paid more and more attention by academia. A few research results have begun to explore the characteristics of hot papers themselves, but the research on influencing factors and other laws is still insufficient.[ Method/process] Based on this, this study uses TF-IDF algorithm and negative binomial regression model to explore the distribution characteristics, influencing factors, time window differences and disciplines type differences of hot papers.[ Result/conclusion] The results show that the distribution characteristics of hot papers focus on developed countries, well -known research institutions, interdisciplinary and authoritative journals, and are influenced by refined titles, inter-country cooperation , research output, open access, high-impact factor journals and other factors;hot papers have time window effect, and even change the titles, abstracts, open access and other factors. The differences among disciplines have an impact on hot papers, and there are differences in title, abstract, scientific research cooperation, literature type, open access and journal impact factors.
作者
宋超
陈悦
汪玲
左佳
刘则渊
Song Chao;Chen Yue;Wang Ling;Zuo Jia;Liu Zeyuan(Institute of Science of Science and S&T Management & WISE Lab, Dalian University of Technology, Dalian 116024)
出处
《图书情报工作》
CSSCI
北大核心
2019年第16期84-94,共11页
Library and Information Service
基金
中国科学院发展规划局咨询课题“2018中国科学院8+2融合科学领域竞争优势国际比较的理论和方法研究”(项目编号:GHJ-ZLZX-2018-32-2)研究成果之一
关键词
热点论文
分布特征
影响因素
时间窗口
学科差异
负二项回归模型
hot papers
distribution characteristics
influencing factors
time window
disciplinary differences
negative binomial regression model
