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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Dimensions and Uncertainties of Author Citation Rankings: Lessons Learned From Frequency-Weighted In-Text Citation Counting
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Dimensions and Uncertainties of Author Citation Rankings: Lessons Learned From Frequency-Weighted In-Text Citation Counting

机译：作者引文排名的维度和不确定性：频率加权文字引文计数的经验教训

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摘要

In-text frequency-weighted citation counting has been seen as a particularly promising solution to the well-known problem of citation analysis that it treats all citations equally, be they crucial to the citing paper or perfunctory. But what is a good weighting scheme? We compare 12 different in-text citation frequency-weighting schemes in the field of library and information science (LIS) and explore author citation impact patterns based on their performance in these schemes. Our results show that the ranks of authors vary widely with different weighting schemes that favor or are biased against common citation impact patterns-substantiated, applied, or noted. These variations separate LIS authors quite clearly into groups with these impact patterns. With consensus rank limits, the hard upper and lower bounds for reasonable author ranks that they provide suggest that author citation ranks may be subject to something like an uncertainty principle.
机译：文本频率加权引文计数被认为是众所周知的引文分析问题的一种特别有前途的解决方案，因为它对所有引文都是同等对待，无论它们对引文还是敷衍都是至关重要的。但是什么是好的加权方案？我们比较了图书馆学和情报学（LIS）领域中的12种不同的文本引用频率加权方案，并基于它们在这些方案中的表现来探索作者的引用影响模式。我们的结果表明，作者的职称因支持或偏重常见的引用影响方式（证实，应用或注意到）的加权方案不同而有很大差异。这些变化非常清楚地将LIS作者分为具有这些影响模式的组。有了共识等级限制，合理的作者等级就很难达到上下限，这表明作者的引用等级可能受不确定性原则的约束。

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