Usage Impact Factor: The effects of sample characteristics on usage-based impact metrics

Usage Impact Factor: The effects of sample characteristics on usage-based impact metrics
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DOI:
10.1002/asi.20746
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发表时间:
2008-01-01
影响因子:
--
通讯作者:
van de Sompel, Herbert
van de Sompel, Herbert
中科院分区:
其他
文献类型:
--
作者:
Bollen, Johan;van de Sompel, Herbert

文献摘要

被引文献

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有充分的证据表明,类似于基于引文的 ISI 影响因子的学术影响力指标可以从使用数据中得出;然而,到目前为止,实际上只能在不同的信息服务级别上记录使用情况。这导致对学术影响的特定社区评估难以推广到全球学术界。相比之下,ISI 影响因子基于引文数据,因此代表了全球学术作者社区。本研究的目的是检验社区特征对使用学术影响评估的影响。我们定义了一个模仿 Thomson Scientific ISI 影响因子定义的期刊使用影响因子。使用影响因子排名是根据加州州立大学系统的链接服务器从 2003 年到 2005 年记录的大规模使用数据集计算的。然后将所得期刊排名与 Thomson Scientific ISI 影响因子进行比较,后者用作总体影响的参考指标。我们的结果表明,一门学科特定的科学和人口特征对基于使用的学术影响力评估有很大影响。特别是,我们观察到,随着特定学科的研究生和教师数量的增加,Usage 影响因子排名将与 ISI 影响因子更加趋同。
There exist ample demonstrations that indicators of scholarly impact analogous to the citation-based ISI Impact Factor can be derived from usage data; however, so far, usage can practically be recorded only at the level of distinct information services. This leads to community-specific assessments of scholarly impact that are difficult to generalize to the global scholarly community. In contrast, the ISI Impact Factor is based on citation data and thereby represents the global community of scholarly authors. The objective of this study is to examine the effects of community characteristics on assessments of scholarly impact from usage. We define a journal Usage Impact Factor that mimics the definition of the Thomson Scientific ISI Impact Factor. Usage Impact Factor rankings are calculated on the basis of a large-scale usage dataset recorded by the linking servers of the California State University system from 2003 to 2005. The resulting journal rankings are then compared to the Thomson Scientific ISI Impact Factor that is used as a reference indicator of general impact. Our results indicate that the particular scientific and demographic characteristics of a discipline have a strong effect on resulting usage-based assessments of scholarly impact. In particular, we observed that as the number of graduate students and faculty increases in a particular discipline, Usage Impact Factor rankings will converge more strongly with the ISI Impact Factor.