【目的】 分析微信阅读量与中国知网(以下简称“知网”)下载量之间的相关性以及阅读量与下载量的一致与背离现象,以指导学术期刊更好地做好学术论文的选题、选稿与传播工作。【方法】 以2018年度“中国最具国际影响力学术期刊”(中文期刊)2018年9月至2019年1月的微信发布论文为样本,基于单篇论文维度多角度对微信阅读量与知网下载量进行数据正态性检验、相关性分析,并在此基础上对微信阅读量与知网下载量相一致与相背离的情况进行进一步分析。【结果】 学术期刊整体、人文社科类学术期刊、自然科学与工程技术类学术期刊的微信阅读量与知网下载量均未显示较强的正相关性,其中整体和自然科学与工程技术类期刊阅读量与下载量的相关性略高于人文社科类期刊。【结论】 实用性强的工程技术类推文以及吸睛标题能带来高的阅读量;热点问题以及有现实意义的问题能带来比较一致的高阅读量和高下载量;读者群体大且有较多跨学科研究人员的刊物更容易获得高下载量。
[Purposes] This study analyzes the correlation between WeChat reading quantity and China National Knowledge Infrastructure (CNKI) downloads and the consistency and deviation between reading and downloading, in order to guide academic journals to better select and disseminate academic papers. [Methods] We selected the WeChat papers from September 2018 to January 2019 published in Highest International Impact Academic Journals in China (Chinese journals) in 2018 as examples. The data normality test and correlation analysis were used to explore the relationship between WeChat reading quantity and CNKI downloads based on the multi-angle dimension of single papers, and on this basis, the consistency and deviation between reading and downloading was further analyzed. [Findings] The WeChat reading quantity in academic journals, humanities and social science journals, and natural sciences and engineering journals does not show strong positive correlations with the CNKI downloads, respectively. The correlation between reading quantity and downloads in academic journals and natural science and engineering technology journals is stronger than that in humanities and social sciences journals. [Conclusions] Articles that focus on practical applications in engineering and articles that rely solely on the title of bloggers can obtain high readings; hot issues and realistic questions often lead to more consistent high readings and high downloads; academic journals with more readers and more interdisciplinary researchers can obtain more high downloads easily.
Influence of paper,