Researchers are often evaluated by citation-based metrics. Such metrics can inform hiring, promotion, and funding decisions. Concerns have been expressed that popular citation-based metrics incentivize researchers to maximize the production of publications. Such incentives may not be optimal for scientific progress. Here we present a citation-based measure that rewards both productivity and taste: the researcher's ability to focus on impactful contributions. The presented measure, CAP, balances the impact of publications and their quantity, thus incentivizing researchers to consider whether a publication is a useful addition to the literature. CAP is simple, interpretable, and parameter-free. We analyze the characteristics of CAP for highly-cited researchers in biology, computer science, economics, and physics, using a corpus of millions of publications and hundreds of millions of citations with yearly temporal granularity. CAP produces qualitatively plausible outcomes and has a number of advantages over prior metrics. Results can be explored at https://cap-measure.org/
翻译:研究者通常采用以引证为基础的衡量标准进行评估,这种衡量标准可以为聘用、晋升和供资决定提供信息。有人对以引证为基础的普遍衡量标准激励研究人员最大限度地制作出版物表示关切。这些奖励措施可能不是科学进步的最佳办法。我们在这里提出一个以引证为基础的衡量标准,奖励生产力和口味:研究人员注重影响性贡献的能力。所提出的衡量标准,即CAP,平衡出版物及其数量的影响,从而激励研究人员考虑出版物是否是对文献的有益补充。CAP是简单、可解释和无参数的。我们利用数以百万计的出版物和数以亿计的年度时间粒子引用,对生物学、计算机科学、经济学和物理学高调研究人员的CAP特性进行分析。CAP产生质量上合理的结果,比以前的衡量标准具有若干优势。在https://cap-measure.org/上可以探讨结果。