首页> 外文会议>Americas conference on information systems;AMCIS 2009 >Unpacking the Journal 'Impact Factor' and its Effect on IS Research: Does It Do More Harm than Good?
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Unpacking the Journal 'Impact Factor' and its Effect on IS Research: Does It Do More Harm than Good?

机译:解开期刊的“影响因素”及其对信息系统研究的影响:它是否弊大于利?

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The "impact factor" computed and published by ISI has become increasingly prominent as a quality measure for evaluating journals and, in turn, the prominence of researchers who publish in them. This paper identifies the origins of the impact factor, as well as its current uses, and numerous problems associated with it. Among these problems are the fact that the conventional impact metric simply examines the number of times an average paper is cited within the first two years after the year of publication - a window that is shorter than the sum of the review cycle time and the publication lead time. As a result, it is simply a matter of chance whether some papers cite a given, published paper within a two-year window. One by-product is that impact factors exhibit highly irregular (i.e., jagged) patterns over time, rather than smooth growth curves. The impact factor is susceptible to "gaming" by journal editors; moreover, it is susceptible to the positive effect of a "blockbuster" paper - which causes a journal's impact factor to surge upward for a short time and then fall dramatically. We predict various statistical anomalies in journal impact factor data, and we test these predictions with published data.
机译:ISI计算和发布的“影响因素”已经越来越突出,作为评估期刊的质量措施,而且反过来又突出了在其中发布的研究人员。本文识别了影响因子的起源,以及其当前用途以及与之相关的许多问题。在这些问题中,传统的影响指标只是检查了出版年前两年内引用了平均纸张的次数 - 一个短于审查周期时间和出版物的总和的窗口时间。因此,一些论文是否在为期两年的窗口内引用了一些纸张。一个副产物是影响因素随着时间的推移表现出高度不规则的(即,锯齿状)模式,而不是平滑的生长曲线。影响因子易受期刊编辑“游戏”的影响;此外,它易于对“大片”纸的积极效果的影响 - 这导致期刊的影响因子在短时间内涌现,然后急剧下降。我们预测期刊影响因子数据中的各种统计异常,我们将这些预测与已发布的数据进行测试。

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