Ravenscroft James, Liakata Maria, Clare Amanda, Duma Daniel
Centre for Scientific Computing, University of Warwick, Coventry, United Kingdom.
Department of Computer Science, Aberystwyth University, Aberystwyth, United Kingdom.
PLoS One. 2017 Mar 9;12(3):e0173152. doi: 10.1371/journal.pone.0173152. eCollection 2017.
How does scientific research affect the world around us? Being able to answer this question is of great importance in order to appropriately channel efforts and resources in science. The impact by scientists in academia is currently measured by citation based metrics such as h-index, i-index and citation counts. These academic metrics aim to represent the dissemination of knowledge among scientists rather than the impact of the research on the wider world. In this work we are interested in measuring scientific impact beyond academia, on the economy, society, health and legislation (comprehensive impact). Indeed scientists are asked to demonstrate evidence of such comprehensive impact by authoring case studies in the context of the Research Excellence Framework (REF). We first investigate the extent to which existing citation based metrics can be indicative of comprehensive impact. We have collected all recent REF impact case studies from 2014 and we have linked these to papers in citation networks that we constructed and derived from CiteSeerX, arXiv and PubMed Central using a number of text processing and information retrieval techniques. We have demonstrated that existing citation-based metrics for impact measurement do not correlate well with REF impact results. We also consider metrics of online attention surrounding scientific works, such as those provided by the Altmetric API. We argue that in order to be able to evaluate wider non-academic impact we need to mine information from a much wider set of resources, including social media posts, press releases, news articles and political debates stemming from academic work. We also provide our data as a free and reusable collection for further analysis, including the PubMed citation network and the correspondence between REF case studies, grant applications and the academic literature.
科学研究如何影响我们周围的世界?为了合理调配科学领域的人力和资源,能够回答这个问题至关重要。目前,学术界科学家的影响力是通过基于引用的指标来衡量的,如h指数、i指数和引用次数。这些学术指标旨在反映知识在科学家之间的传播情况,而非研究对更广泛世界的影响。在这项研究中,我们感兴趣的是衡量科学研究在学术界之外对经济、社会、健康和立法方面的影响(综合影响)。事实上,科学家们被要求在卓越研究框架(REF)的背景下撰写案例研究,以证明这种综合影响的证据。我们首先调查了现有的基于引用的指标在多大程度上能够指示综合影响。我们收集了2014年以来所有最新的REF影响案例研究,并使用一些文本处理和信息检索技术,将这些案例研究与我们构建的、源自CiteSeerX、arXiv和PubMed Central的引文网络中的论文进行了关联。我们已经证明,现有的基于引用的影响衡量指标与REF影响结果的相关性并不好。我们还考虑了围绕科学作品的在线关注度指标,如Altmetric API提供的指标。我们认为,为了能够评估更广泛的非学术影响我们需要从更广泛的资源中挖掘信息,包括社交媒体帖子、新闻稿、新闻文章以及源自学术工作的政治辩论。我们还将我们的数据作为一个免费且可重复使用的集合提供,以供进一步分析,包括PubMed引文网络以及REF案例研究、资助申请和学术文献之间的对应关系。