The "impact factor" revisited.

Peng Dong, Marie Loh, Adrian Mondry
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Abstract

The number of scientific journals has become so large that individuals, institutions and institutional libraries cannot completely store their physical content. In order to prioritize the choice of quality information sources, librarians and scientists are in need of reliable decision aids. The "impact factor" (IF) is the most commonly used assessment aid for deciding which journals should receive a scholarly submission or attention from research readership. It is also an often misunderstood tool. This narrative review explains how the IF is calculated, how bias is introduced into the calculation, which questions the IF can or cannot answer, and how different professional groups can benefit from IF use.

重新审视 "影响因子"。
科学期刊的数量已经变得如此庞大,以至于个人、机构和机关图书馆都无法完全存储其实际内容。为了优先选择优质信息来源,图书馆员和科学家需要可靠的决策辅助工具。影响因子"(IF)是最常用的评估辅助工具,用于决定哪些期刊应得到学术投稿或研究读者的关注。它也是一个经常被误解的工具。本综述将解释影响因子是如何计算的,计算中如何引入偏差,影响因子能回答或不能回答哪些问题,以及不同专业群体如何从影响因子的使用中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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