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机构地区:[1]武汉大学信息资源研究中心,湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072
出 处:《情报科学》2016年第1期3-8,共6页Information Science
基 金:国家科技支撑计划课题(2012BAH33F03);国家自然科学基金面上项目(71173164)
摘 要:利用CNKI引文数据库,以图情领域共19本期刊53243篇文献为统计数据源,从单篇论文、作者、期刊三种粒度,分别对文献下载频次与被引频次进行数据正态性检验、相关性分析及曲线估计,并探讨利用下载频次预测被引频次的可行性。实验表明,下载频次与被引频次的相关性在不同粒度下差异较大:单篇论文粒度下相关性不强,作者粒度下呈显著的二次函数正相关,而期刊粒度下呈显著的三次函数正相关。因此,从作者或期刊粒度,利用下载频次预测被引频次是可行的。In the granularity of the journal papers, the authors and the journals, normality test, correlation analysis andcurve estimation were conducted to test the relevance between the download frequency and the citation frequency on the da-taset which were collected from the CNKI citation database covering 53243 journal papers and 19 journals in total in thefield of Library and Information Sciences, and explored the feasibility of predicting the citationa frequency from the down-load frequency. The experiments show granularity relevance differences between the download frequency and the citationfrequency. To be more specifically, little relevance between the download frequency and the citation frequency was found inthe granularity of the journal papers whereas quadratic function, cubic function were related in the granularity of the authorsand the journals, respectively. As a consequence, it is possible to predict the citation frequency from the download frequen-cy in the granularity of the authors or the journals.
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