期刊文献+

网络下载量:引文量指标滞后的替代解决方案

Network Download Index:An Alternative Solution to Lagging Citation Indicators
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摘要 [目的/意义]早在1996年,GARFIELD就提出用网络下载量代替引文量用于期刊评价以提高时效性的设想,但其应用进展有待提高。[方法/过程]文章从理论上分析了原因,并从下载量的内涵入手,分析了下载指标用于期刊评价的前提条件,然后基于面板数据模型、BP神经网络与回归分析,综合分析了下载量与被引的关系,提出了即年下载因子、次年下载因子、累计下载因子3个评价指标,并对其统计学特征进行了分析。[结果/结论]研究结果表明:采用3个网络下载指标用于期刊评价是可行的;3个网络下载指标还不能完全替代被引指标用于评价;网络下载指标可有效防止人为控制载文量;建议进一步优化网络下载指标基础数据。 [Purpose/significance]As early as 1996,Garfield proposed the idea of using web downloads instead of citations for journal evaluation to improve timeliness,but the progress of its application needs to be improved.[Method/process]In this paper,we theoretically analyzed the reasons for this phenomenon,and analyzed the prerequisites for the download index to be used for journal evaluation starting from the connotation of download volume,and then comprehensively analyzed the relationship between download volume and citation based on panel data model,BP neural network and regression analysis,and proposed three evaluation indexes,immediate annual download factor,next year download factor and cumulative download factor,and analyzed their statistical characteristics.[Result/conclusion]The results show that:it is feasible to use the three network download indicators for journal evaluation;the three network download indicators cannot completely replace the citation indicators for evaluation;the network download indicators can effectively prevent the artificial control of the volume of articles;it is suggested to further optimize the basic data of the network download indicators.
作者 俞立平 黄梅花 YU Liping;HUANG Meihua(School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018;Collaborative Innovation Center of Statistical Data Engineering Technology and Application,Zhejiang Gongshang University,Hangzhou 310018;Hunan Institute of Scientific and Technical Information,Changsha 410001)
出处 《科技情报研究》 CSSCI 2024年第1期10-21,共12页 Scientific Information Research
基金 2021年度国家社科基金项目“学术期刊评价——指标创新与方法研究”(编号:21FTQB016) 2021年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”(编号:Z21G030004) 湖南省2021年湖湘高层次人才聚集工程创新团队(编号:2021RC5029)。
关键词 下载因子 期刊评价 网络下载指标 被引指标 面板数据模型 download factor journal evaluation network download indicators citaation index panel data model
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