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Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2020
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Corpuscles.jl

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Jul 2020 English Publisher:Zenodo
Authors: Gal, Tamas; Schumann, Johannes;

doi: 10.5281/zenodo.3933364 , 10.5281/zenodo.3933363

Abstract

Corpuscles.jl is a package which gives easy access to particle properties and identification codes summarised and defined by the Particle Data Group (PDG) collaboration. The cleaned CSV versions of these data are provided by courtesy of the Scikit-HEP project and are part of the Particle Python module which inspired us to create a similar package for the Julia Language.

Keywords

high-energy physics, JuliaLang, HEP, PDG

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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!
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