Altmetric scores: An early indicator of research impact

被引:22
|
作者
Wooldridge, Jenny [1 ]
King, Mike B. [1 ]
机构
[1] Natl Phys Lab, Teddington TW11 0LW, Middx, England
关键词
Citation data - Early indicators - Expert panels - Highly-correlated - Research impacts - Research quality - Societal impacts - Traditional models;
D O I
10.1002/asi.24122
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article we test whether metrics of online attention describing research can provide information on research quality and societal impact that is not found in citation data alone. Our approach is to set up a traditional model in which the true quality or impact of a university department is determined by a panel of experts, but a citation metric is regarded as a reasonable proxy. However, the model assumes that the information contained in the scores provided by an expert panel exceeds that contained in a citation metric (HEFCE, 2015). Finally, we extend this model by including altmetric data to see if it adds information about a department's performance that cannot be gleaned from citations alone. We find the presence of altmetric data for the cited underpinning research to be highly correlated with peer review scores for societal impact. Conversely, no such connection was seen with the assessment of research quality. Our findings therefore suggest altmetric data could be useful as an aid to assessing impact.
引用
收藏
页码:271 / 282
页数:12
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