情报科学 ›› 2025, Vol. 43 ›› Issue (9): 89-98.

• 理论研究 • 上一篇    下一篇

学术论文知乎提及量的影响因素研究

  

  • 出版日期:2025-09-05 发布日期:2025-12-12

  • Online:2025-09-05 Published:2025-12-12

摘要: 【目的/意义】从提及主体和提及客体的角度分析并探究知乎提及量的影响因素,旨在促进面向本土需求的 替代计量研究的发展和应用。【方法/过程】采集29个代表性二级知乎话题的数据,识别提及的学术论文并获取论文 元数据,综合运用相关性分析、主成分分析和线性回归的分析方法,揭示学术论文特征和知乎帖子特征对知乎提及 量的影响。【结果/结论】①知乎提及量的影响因素可分为学术论文特征和知乎帖子特征两大类;②学术论文的被引 频次与知乎提及量显著正相关,标题长度和参考文献数量对其产生微弱的负向影响;③相较于标点符号占比和参 考资料数量,知乎帖子的内容长度和链接数量对知乎提及量产生更强的正向影响,图片数量则对其产生微弱的负 向影响。这些结果为深入理解和应用知乎替代计量数据提供了有益参考。【创新/局限】针对知乎这一重要的中文 替代计量数据源开展了探索性研究,未来将进一步考虑时间、学科、作者等相关特征与知乎提及量的关联。

Abstract: 【Purpose/significance】This study analyzes and explores the influencing factors of Zhihu mention count from the perspec⁃ tives of mention subject and mention object, aiming to promote the development and application of altmetric research targeting local demand.【Method/process】The study collected data from 29 secondary Zhihu topics, identified academic papers mentioned by Zhihu from the data, obtained metadata of academic papers and utilized correlation analysis, principal component analysis, and linear regres⁃ sion analysis to reveal the impact of academic paper characteristics and Zhihu post characteristics on Zhihu mention count.【Result/ conclusion】(1)The influencing factors of Zhihu mention count can be divided into two categories: academic paper characteristics and Zhihu post characteristics; (2) The citation frequency of academic paper is significantly positively correlated with Zhihu mention count, while the length of title and the number of references have a weak negative impact on it; (3) Compared to the proportion of punctuation and the number of references, the length of content and the number of links of Zhihu post have a stronger positive impact on Zhihu mention count, while the number of images has a weak negative impact. These results provide useful references for a deeper under⁃ standing and application of Zhihu altmetric data.【Innovation/limitation】Exploratory research has been conducted on Zhihu, an impor⁃ tant Chinese altmetric data source. In the future, further consideration will be given to the correlation between time, discipline, author, and other relevant characteristics and Zhihu mention count.