替代计量指标与引文量相关性的大规模跨学科研究——数值类型、指标种类与用户类别的影响

发布时间：2018-01-14 16:35

本文关键词：替代计量指标与引文量相关性的大规模跨学科研究——数值类型、指标种类与用户类别的影响　出处：《情报学报》2017年06期 　论文类型：期刊论文

【摘要】：以441万多条Altmetric.com数据为基础,分2012年1月、2013年1月和2014年1月三个时间段,采集了27个学科的18种替代计量指标和Scopus引文量数据,来大规模考察替代计量指标与引文量的相关性,着重研究数值类型、指标种类和用户类别对相关性的影响。结果发现独立用户数与引文量的相关性显著高于绝对提及数;在线参考文献平台阅读量指标与引文量相关系数最大(ρ_(mendeley)=0.614),其他替代计量指标均与引文量呈显著非常弱正相关(0ρ0.2);学科呈现显著不同的替代计量指标活跃度,同时替代计量指标存在明显的学科差异;用户类别对相关性有直接影响,因而使用替代计量指标时需对数据进行清洗和细分。
[Abstract]:Based on more than 4.41 million Altmetric.com data, it is divided into three periods: January 2012, January 2013 and January 2014. In order to study the correlation between the substitution measurement index and the citation quantity, the data of 18 kinds of alternative measurement index and Scopus citation quantity were collected from 27 disciplines, and the numerical types were studied emphatically. The results showed that the correlation between the number of independent users and the number of citations was significantly higher than that of absolute reference. On the online reference platform, the correlation coefficient between reading quantity and citation quantity is the largest (蟻 _ S _ 2 mendeleyy ~ (0.614)). There was a very weak positive correlation between the other indexes and the citation quantity (0 蟻 0.2). There are significant differences in the activity of alternative measurement indicators and in alternative measurement indicators. User categories have a direct impact on relevance, so the use of alternative metrics requires cleaning and subdividing the data.
【作者单位】：南京理工大学经济管理学院;
【基金】：国家社会科学基金青年项目“基于多维信息计量分析的学术影响力综合评价研究”(CTQ023)
【分类号】：G353.1
【正文快照】： i引言互联网,尤其是近年来的社交网络,深远地改变了研究成果(Research Product)的传播和交流方式。诚如Bosman等[1]所言,“科学正在转型”。由乌得勒支大学(UtrechtUniversity)主持的“学术交流的101种创新”(101 Innovations in Scholarly Commu?nication)调研项目'将科研工

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