农业图书情报学报 ›› 2023, Vol. 35 ›› Issue (11): 77-85.doi: 10.13998/j.cnki.issn1002-1248.23-0757

• 研究论文 • 上一篇    下一篇

期刊下载因子:传播、影响、知识与信息量的综合指标——提高文献计量指标时效性新的尝试

俞立平1,2   

  1. 1.浙江工商大学 统计与数学学院,杭州 310018;
    2.浙江工商大学 统计数据工程技术与应用协同创新中心,杭州 310018
  • 收稿日期:2023-10-07 出版日期:2023-11-05 发布日期:2024-02-28
  • 作者简介:俞立平(1967- ),男,博士,教授,博导,研究方向为技术经济、科技评价领域的研究
  • 基金资助:
    国家社科基金“学术期刊评价——指标创新与方法研究”(21FTQB016); 浙江省自然科学基金重点项目“制造业从数量型创新向质量型创新转型机制研究”(Z21G030004)

Journal Download Factor: A Composite Indicator of Dissemination, Impact, Knowledge and Information

YU Liping1,2   

  1. 1. School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018;
    2. Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 310018
  • Received:2023-10-07 Online:2023-11-05 Published:2024-02-28

摘要: [目的/意义]综合表征学术期刊传播、影响、知识与信息量的指标缺乏,本文提出下载因子指标以弥补这个问题。[方法/过程]首先根据下载频次与被引频次的历年变化,基于图书馆情报与文献学CSSCI期刊中国知网引文数据,采用面板数据模型建立下载频次与被引频次预测模型,确定设计下载因子的最佳滞后期,提出下载因子指标,即期刊论文发表2年后平均每篇论文的下载次数除以100。继续采用岭回归分析下载因子与影响因子、h指数、载文量的关系。[结果/结论]滞后1年和2年下载频次决定了被引频次的80%;下载因子可以较好测度期刊的知识信息量、传播水平、影响力和学术质量;下载因子指标有待更多学科和数据的检验。

关键词: 下载因子, 传播水平, 滞后期, 评价指标

Abstract: [Purpose/Significance] The birth of the Internet has brought revolutionary impact on bibliometrics, giving rise to a number of online download indicators for academic literature. The most representative basic indicator among them is the download frequency, but it also includes the annual download rate, the total download volume, the download half-life, and the Google Scholar Index. The proposal of these indicators provides a new method and means of measuring scholarly dissemination and impact, which is a significant development of traditional bibliometrics and an important component of alternative metrics. Given the lack of indicators that comprehensively characterize the dissemination, impact, knowledge and information volume of academic journals, this paper proposes the download factor indicator to address this problem. [Method/Process] First, according to the changes of download frequency and citation frequency over the years, based on the citation data of CSSCI journals of library information and bibliology on CNKI, a panel data model was used to establish a prediction model of download frequency and citation frequency, and the optimal lag period for designing the download factor was determined. The indicator of download factor was proposed, that is, the average number of downloads per hundred times of each paper after 2 years of publication. This paper further used ridge regression to analyze the relationship between the download factor and the impact factor, h-index, and the number of articles. [Results/Conclusions] The download frequency with a lag of 1 year and 2 years determines 80% of the citation frequency. This article innovatively adopts a panel data model and comprehensively evaluates the impact of download frequency on citation frequency in both current and lagged periods, thereby greatly improving the prediction accuracy. The download factor can better measure the knowledge information volume, dissemination level, influence and academic quality of the journal. The timeline for downloading factor indicators is synchronized with the influencing factors, both within 2 years after the publication of journal articles, focusing on the evaluation of academic communication level. The download factor has the highest correlation with the main indicator of the impact of journal quality, the h-index, and has a high correlation with the impact factor and publication volume. It has good statistical indicator properties and is a comprehensive indicator for evaluating journals; the download factor index needs to be more inspection of application in disciplines and use of data. This article is based on the conclusions drawn from the research of 19 CSSCI journals in library and information science literature. The relationship between download frequency and citation frequency in other disciplines, as well as the construction of download factors, require further research in conjunction with the latest data.

Key words: download factor, level of dissemination, lag period, evaluation indicator

中图分类号: 

  • G302

引用本文

俞立平. 期刊下载因子:传播、影响、知识与信息量的综合指标——提高文献计量指标时效性新的尝试[J]. 农业图书情报学报, 2023, 35(11): 77-85.

YU Liping. Journal Download Factor: A Composite Indicator of Dissemination, Impact, Knowledge and Information[J]. Journal of Library and Information Science in Agriculture, 2023, 35(11): 77-85.