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Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks

机译:将Google的PageRank算法扩展到引文网络的承诺和陷阱

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摘要

The number of citations is the most commonly used metric for quantifying the importance of scientific publications. However, we all have anecdotal experiences that citations alone do not characterize the importance of a publication. Some of the shortcomings of using citations as a universal measure of importance include the following. It ignores the importance of citing papers: a citation from an obscure paper is given the same weight as a citation from a ground-breaking and highly cited work. The number of citations is ill suited to compare the impact of papers from different scientific fields. Due to factors such as size of a field and disparate citation practices, the average number of citations per paper varies widely between disciplines. An average paper is cited ?times in life sciences, 3 times in physics, and <1 times in mathematics.
机译:引用次数是量化科学出版物重要性的最常用指标。但是,我们都有轶事经验,仅引文并不能说明出版物的重要性。使用引用作为普遍重要性的一些缺点包括以下几点。它忽略了引用论文的重要性:从晦涩的论文中引文与在开创性和高被引用的论文中引文的权重相同。引用次数不适合比较不同科学领域的论文的影响。由于领域的大小和不同的引用实践等因素,各学科之间每篇论文的平均引用次数差异很大。一篇普通论文被引用的次数是生命科学的3倍,物理的3倍,数学的1倍。

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