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The FAIR Python Cookiecutter repo is a service of the Helmholtz Metadata Collaboration (HMC), an incubator-platform of the Helmholtz Association within the framework of the Information and Data Science strategic initiative. It is developed, maintained and offered to you by the Institute for Materials Data Science and Informatics (IAS-9) of at Forschungszentrum Jülich.
An opinionated cookiecutter template to kickstart a modern best-practice Python project with FAIR metadata.
If you use this software, please cite it using this metadata.
python, cookiecutter, metadata, template, fair
python, cookiecutter, metadata, template, fair
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |