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This repository exists to transparently document the statistical methods of the paper and ship them in a reexeutable format. To give academic credit please cite exclusively the “An in Vivo Wound Healing Model for the Characterization of the Angiogenic Process and its Modulation by Pharmacological Interventions” Paper, as it already references this repository, where needed.
plotting, free and open source, FOSS, ANOVA, matplotlib, data analysis, statsmodels, wound healing, reexecutable, modelling, seaborn, reproducible, statistics, publishing, pharmacology, swarmplots, Python
plotting, free and open source, FOSS, ANOVA, matplotlib, data analysis, statsmodels, wound healing, reexecutable, modelling, seaborn, reproducible, statistics, publishing, pharmacology, swarmplots, Python
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| 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 |
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