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bcweeks/Skelevision: Skelevision-v1.0.1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Mar 2022Publisher:Zenodo
Authors: Z; Weeks, Brian;
Code repository: https://github.com/bcweeks/Skelevision/tree/Skelevision-v1.0.1

doi: 10.5281/zenodo.6406937 , 10.5281/zenodo.6402894 , 10.5281/zenodo.6402893

bcweeks/Skelevision: Skelevision-v1.0.1

Abstract

This is the initial release of Skelevision, but with the inclusion of large files stored on GitHub LFS (e.g. model weights), to provide an out-of-the box version. Skelevision accompanies the paper describing the method: Weeks et al. 2022. A deep neural network for high throughput measurement of functional traits on museum skeletal specimens. Methods in Ecology and Evolution.

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selected citations
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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).
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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.
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.
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