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arXiv 0908.3177physics.soc-phcs.DL
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影响因子的马太效应:文献计量学的自然实验

The impact factor's Matthew effect: a natural experiment in bibliometrics

Vincent Lariviere, Yves Gingras

摘要:

自罗伯特·K.默顿的累积优势理论在科学(马太效应),一些实证研究试图衡量其存在的论文,个人研究人员,机构或国家的水平。然而,这些研究很少控制论文或研究人员的内在“质量”-“更好”(无论如何定义)的论文或研究人员可以获得更高的引用率,因为它们确实具有更好的质量。使用原始的方法来控制论文的内在价值-在不同的期刊上发表的相同的重复论文具有不同的影响因子-本文表明,论文发表的期刊对其引用率有很大的影响,因为在高影响力期刊上发表的重复论文平均获得的引用次数是在影响因子较低的期刊上发表的相同论文的两倍。因此,一篇论文的内在价值并不是一篇论文被引用或不被引用的唯一原因;期刊有一个特定的马太效应,这给在那里发表的论文带来了超过其内在质量的附加值。

英文摘要:

Since the publication of Robert K. Merton's theory of cumulative advantage in science (Matthew Effect), several empirical studies have tried to measure its presence at the level of papers, individual researchers, institutions or countries. However, these studies seldom control for the intrinsic "quality" of papers or of researchers--"better" (however defined) papers or researchers could receive higher citation rates because they are indeed of better quality. Using an original method for controlling the intrinsic value of papers--identical duplicate papers published in different journals with different impact factors--this paper shows that the journal in which papers are published have a strong influence on their citation rates, as duplicate papers published in high impact journals obtain, on average, twice as much citations as their identical counterparts published in journals with lower impact factors. The intrinsic value of a paper is thus not the only reason a given paper gets cited or not; there is a specific Matthew effect attached to journals and this gives to paper published there an added value over and above their intrinsic quality.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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