Ronda-Pupo Guillermo Armando
Departamento de Administración y Economía, Facultad de Ciencias Jurídicas y Empresariales, Universidad de La Frontera, Temuco, Chile.
Front Res Metr Anal. 2021 Apr 26;6:622006. doi: 10.3389/frma.2021.622006. eCollection 2021.
Scientometric indicators are useful to evaluate the relevance of scientific research, to prepare rankings, and to evaluate and inform research policies. That is why the choice of appropriate indicators is a matter of primary concern. This article aims to introduce a framework to decide the appropriate type of indicator for assessing the citation-based performance of complex innovation systems. The framework is two-fold: First, it brings the methodology to decide when the use of standard average based indicators is granted, and when scale-invariant indicators are mandatory. Second, it provides the procedures to build scale-invariant indicators to assess the relative impact of complex innovation systems. The framework is validated empirically through the evaluation of the relative impact of the Chilean science system in 2017. The result suggests that the Chilean science system has characteristics of a complex innovation system such as the distribution of citations fits to a power law with an exponential cutoff and a power-law correlation between the size of the system and its impact . Furthermore, the framework shows to be efficient to compare fields of vastly different sizes.
科学计量指标有助于评估科学研究的相关性、编制排名以及评估和为研究政策提供信息。这就是为什么选择合适的指标是首要关注的问题。本文旨在介绍一个框架，以确定评估复杂创新系统基于引用的绩效时合适的指标类型。该框架有两个方面：第一，它带来了一种方法，以确定何时可以使用基于标准平均值的指标，以及何时必须使用尺度不变指标。第二，它提供了构建尺度不变指标的程序，以评估复杂创新系统的相对影响。通过对2017年智利科学系统的相对影响进行评估，对该框架进行了实证验证。结果表明，智利科学系统具有复杂创新系统的特征，如引用分布符合具有指数截断的幂律，以及系统规模与其影响之间的幂律相关性。此外，该框架显示出在比较规模差异极大的领域时是有效的。
