| 张会芳,魏东,郑国清,齐红志.论文长度增长背景下综合性农业科学类期刊版面、下载与被引关系研究[J].情报工程,2022,8(2):087-096 |
| 论文长度增长背景下综合性农业科学类期刊版面、下载与被引关系研究 |
| Research on the Relationship Between Paper Length, Downloads and Citations of Comprehensive Agricultural Science Journals Under the Background of Paper Length Growth |
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| DOI：10.3772/j.issn.2095-915X.2022.02.007 |
| 中文关键词: 精准推送；版面数；被引频次；下载频次；预测模型；回归分析 |
| 英文关键词: Accurate push; paper length; citation frequency; paper downloads; prediction model; subsection-regression |
| 基金项目: |
| 作者 | 单位 | | 张会芳 | 河南省农业科学院农业经济与信息研究所 郑州 450002 | | 魏东 | 河南省农业科学院农业经济与信息研究所 郑州 450002 | | 郑国清 | 河南省农业科学院农业经济与信息研究所 郑州 450002 | | 齐红志 | 河南省农业科学院农业经济与信息研究所 郑州 450002 |
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| 摘要点击次数: 972 |
| 全文下载次数: 742 |
| 中文摘要: |
| ［目的 / 意义］为提升期刊传播力、影响力，部分编辑部期望依托中国知网 CNKI 数据库、中文科技期刊数据库（维普）、万方等数据库推出的期刊推广、精准传播服务等提升论文的下载频次。加之普遍认为长论文被引频次较高，一定程度上导致了目前学术期刊论文长度不断增长的现象。在上述双重背景挟裹下，有必要对论文版面、下载频次与被引频次间的关系进行研究。［方法 / 过程］基于中国知网 CNKI 数据库，以综合性农业科学类期刊——《中国农业科学》为研究对象，采用 Kolmogorov–Smimov 检验、曲线拟合、分段回归研究论文长度、下载频次、被引频次数据特征，不同长度论文下载频次、被引频次数据特征及三者间关系，构建被引频次预测模型。［结果 / 结论］结果显示，不同长度论文被引频次差异显著，二者间关系随论文长度发生变化。论文页数对被引频次有较大影响，但二者间不是因果关系。论文被引频次存在较大随机性，仅用论文页数不能很好地对论文被引频次进行预测。论文下载频次与被引频次极显著正相关。没必要有意提升论文版面，应注重吸引核心作者及培养潜在作者，构建优秀作者网络，获取优质稿源，并辅助多渠道、多环节的高效、高频、精准推送，从根本上长久提升期刊的生命力和影响力。 |
| 英文摘要: |
| [Purpose/Significance] In order to improve the journals dissemination and influence, some editorial departments
expect to increase the number of papers downloads by relying on Journal promotion and precision communication services
launched by CNKI, VIP, Wanfang and other databases. In addition, it is generally believed that long papers are cited more frequently, which partly leads to the continuous growth of the length of papers in academic journals. Under the above dual
background, it is necessary to study the relationship between paper length, downloads and citations. [Method/Process] Based
on database of CNKI, taking “Chinese Agricultural Science” as the research object, Kolmogorov-Smimov test, curve fitting
and subsection-regression were used to study the data characteristics of paper length, downloads and citations, as well as the relationship between them. Then build the citations prediction model. [Result/Conclusion] The results showed that the citations of papers with different lengths was significantly different, and the relationship between them changed with the length of papers. Paper lengths had a great impact on the citations, but there was no causal relationship between them. The citation frequency of papers has great randomness, and it couldn’t be well predicted only by paper length. There was a significant positive correlation between downloads and citations. There was no need to deliberately improve paper length. We should pay attention to attracting core authors and cultivating potential authors, build an excellent author network, obtain high-quality manuscript sources, and assist multi-channel and multi-link efficient, high-frequency and accurate push, so as to fundamentally improve the vitality and influence of journals for a long time. |
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