Novelpy (v1.2) is an open-source Python package designed to compute bibliometrics indicators. The package aims to provide a tool to the scientometrics community that centralizes different measures of novelty and disruptiveness, enables their comparison and fosters reproducibility. This paper offers a comprehensive review of the different indicators available in Novelpy by formally describing these measures (both mathematically and graphically) and presenting their benefits and limitations. We then compare the different measures on a random sample of 1.5M articles drawn from Pubmed Knowledge Graph to demonstrate the module's capabilities. We encourage anyone interested to participate in the development of future versions.
翻译:Nevilpy (v1.2) 是一个开放源码的Python软件包,旨在计算生物计量指标,该软件包旨在为科学计量群提供一种工具,集中不同的新颖性和破坏性计量方法,便于比较,并促进复制。本文通过正式描述这些计量方法(数学和图形)并展示其益处和局限性,全面审查了Nevilpy中现有的不同指标。然后,我们比较了从Pubmed知识图中抽取的1.5M文章的随机抽样的不同计量方法,以展示该模块的能力。我们鼓励任何感兴趣的人参与未来版本的开发。