Bibliometrics provides accurate, cheap and simple descriptions of research systems and should lay the foundations for research policy. However, disconnections between bibliometric knowledge and research policy frequently misguide the research policy in many countries. A way of correcting these disconnections might come from the use of simple indicators of research performance. One such simple indicator is the number of highly cited researchers, which can be used under the assumption that a research system that produces and employs many highly cited researchers will be more successful than others with fewer of them. Here, we validate the use of the number of highly cited researchers (Ioannidis et al. 2020; PLoS Biol 18(10): e3000918) for research assessment at the country level and determine a country ranking of research success. We also demonstrate that the number of highly cited researchers reported by Clarivate Analytics is also an indicator of the research success of countries. The formal difference between the numbers of highly cited researchers according to Ionannidis et al. and Clarivate Analytics is that evaluations based on these two lists of highly cited researchers are approximately equivalent to evaluations based on the top 5% and 0.05% of highly cited papers, respectively. Moreover, the Clarivate Analytics indicator is flawed in some countries.
翻译:生物量度提供了对研究系统的准确、廉价和简单的描述,应当为研究政策奠定基础。然而,生物量度知识与研究政策之间的脱节往往误导许多国家的研究政策。一种纠正这些脱节的方法可能来自使用简单的研究业绩指标。这种简单指标之一是高引用的研究人员人数,可以依据以下假设加以使用:产生和雇用许多高引用的研究人员的研究系统将比其他人更成功。在这里,我们验证使用高引用的研究人员人数(Ioannidis等人,2020年;PLOS Biol 18(10);PLOS Biol 18(10):e3000918)用于国家一级的研究评估并确定国家研究成功等级。我们还表明,Clarity分析公司报告的高引用的研究人员人数也是各国研究成功与否的指标。根据Ionanidis等人的高引用的研究人员人数与Clarivate Anatistems之间的正式差异是,根据这两份高引用的研究人员名单进行的评价大约等同于根据Anaritistems的前5%和高引用的论文中的0.05%。