傅柱,张倩,刘鹏.学科主题视角下的科学论文被引影响因素差异性研究——以图书情报学科为例[J].数字图书馆论坛,2024,20(9):16~26 |
学科主题视角下的科学论文被引影响因素差异性研究——以图书情报学科为例 |
Difference of Influencing Factors of Citation in Scientific Papers from the Perspective of Subject Theme: An Empirical Study of Library and Information Science |
投稿时间:2024-05-20 |
DOI:10.3772/j.issn.1673-2286.2024.09.002 |
中文关键词: 被引频次;主题分类;回归分析;影响因素;图书情报学 |
英文关键词: Citation Frequency; Theme Classification; Regression Analysis; Influencing Factor; Library and Information Science |
基金项目:本研究得到国家社会科学基金青年项目“面向AI4S的场景化智慧知识服务框架研究”(编号:24CTQ030)资助。 |
作者 | 单位 | 傅柱 | 江苏科技大学经济管理学院 | 张倩 | 江苏科技大学经济管理学院 | 刘鹏 | 江苏科技大学经济管理学院 |
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中文摘要: |
从学科主题角度探究被引频次影响因素的差异,为科研人员撰写和优化论文提供有针对性的参考,也为科研评价研究提供新的视角和思路。以18种图书情报学CSSCI收录期刊在2011—2020年发表的43 228篇有效论文为样本,运用LDA主题模型对论文摘要进行主题提取和识别,从总体、主题、主题分类3个角度采用负二项回归模型对年均被引频次的影响因素进行实证研究。研究表明,学科主题间年均被引频次的影响因素存在共性和差异性。基金资助、论文篇幅、论文年龄、下载量对年均被引频次的影响具有一致性,标题长度、关键词数量、作者数量等因素对年均被引频次的影响呈现出差异性。 |
英文摘要: |
Examining the factors influencing citation frequency from the perspective of subject themes can provide targeted guidance for researchers in writing and optimizing their papers, and also provide a new perspective and idea for scientific research evaluation. This study uses 43 228 valid papers published in 18 CSSCI-indexed journals in library and information science from 2011 to 2020. By applying the LDA topic model to extract and identify themes from paper abstracts, and using a negative binomial regression model, we empirically investigate the factors influencing annual citation frequency from overall, thematic, and thematic classification perspectives. The findings reveal both commonalities and differences in the factors influencing annual citation frequency across subject themes. Consistent factors include funding support, paper length, paper age, and download frequency. In contrast, factors such as title length, number of keywords, and number of authors show varying impacts on annual citation frequency. |
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