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ZENODO
Software . 2017
Data sources: Datacite
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ZENODO
Software . 2017
Data sources: ZENODO
Claim

jpresern/measure_features: Initial release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Feb 2017Publisher:Zenodo
Authors: jpresern;
Code repository: https://github.com/jpresern/measure_features/tree/1.0

doi: 10.5281/zenodo.322664

jpresern/measure_features: Initial release

Abstract

This is a simple Python 3 tool to measure features on electron micrographs. The tool was developed to evaluate micrographs of rusts where density of features (e.g how many thorns per unit surface) is often species-specific. The UI is very simple, alternating between console and Matplotlib image display. Results are saved as .csv. User can reload old measurements and continue with measurements.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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0
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3