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Four pitfalls in normalizing citation indicators: An investigation of ESI's selection of highly cited papers

机译:规范引用指标的四个陷阱:对ESI选择高引用论文的调查

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InCites Essential Science Indicators is becoming increasingly used to identify top-performing research and evaluate the impact of institutes. Unfortunately, our study shows that ESI indicators, as well as other normalized citation indicators, have the following flaws. First, the publication month and the online-to-print delay affect a paper's probability of becoming a Highly Cited Paper (HCP). Papers published in the earlier months of the year are more likely to accumulate enough citation counts to rank at the top 1% compared with those published in later months of the year. Papers with longer online-to-print delays have an apparent advantage for being selected as HCPs. Research field normalizations lead to the third pitfall. Different research fields have different citation thresholds for HCPs, making research field classification important for a journal. In addition, the uniform thresholds for both articles and reviews in ESI affect the reliability of HCP selection because, on average, reviews tend to have higher citation rates than articles. ESI's selection of HCPs provides an intuitive feel for the problems of normalized citation impact indicators, such as those provided in InCites and SciVal. (C) 2018 Elsevier Ltd. All rights reserved.
机译:InCites基本科学指标正越来越多地用于识别表现最好的研究和评估机构的影响。不幸的是,我们的研究表明ESI指标以及其他归一化的引用指标存在以下缺陷。首先,出版月份和在线印刷延迟会影响论文成为高被引论文(HCP)的可能性。与今年晚些时候发表的论文相比,今年早些时候发表的论文更有可能积累足够的引文计数,从而排名前1%。具有较长的在线到打印延迟的纸张具有明显的优势,可以被选作HCP。研究领域的规范化导致了第三个陷阱。不同的研究领域对HCP的引用阈值不同,这使得研究领域分类对于期刊很重要。此外,ESI中文章和评论的统一阈值会影响HCP选择的可靠性,因为平均而言,评论的引文率通常高于文章。 ESI对HCP的选择为归一化引用影响指标(如InCites和SciVal中提供的指标)的问题提供了直观的感觉。 (C)2018 Elsevier Ltd.保留所有权利。

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