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Novelpy (v1.2) is an open-source Python package designed to computebibliometrics indicators. The package aims to provide a tool to thescientometrics community that centralizes different measures of novelty anddisruptiveness, enables their comparison and fosters reproducibility. Thispaper offers a comprehensive review of the different indicators available inNovelpy by formally describing these measures (both mathematically andgraphically) and presenting their benefits and limitations. We then compare thedifferent measures on a random sample of 1.5M articles drawn from PubmedKnowledge Graph to demonstrate the module's capabilities. We encourage anyoneinterested to participate in the development of future versions.

Novelpy: A Python package to measure novelty and disruptiveness of bibliometric and patent data