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ZENODO
Software . 2022
Data sources: Datacite
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ZENODO
Software . 2022
Data sources: Datacite
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Pythrix/FOODCOP: FOODCOP

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Mar 2022Publisher:Zenodo
Authors: Pythrix;

doi: 10.5281/zenodo.6397383 , 10.5281/zenodo.6397382

Pythrix/FOODCOP: FOODCOP

Abstract

FOODCOP( for FOOd COmposition Parser) is a set of python scripts for parsing ingredient lists obtained by scanning product packaging. It is, actually, fully operative to analyse ingredient lists extracted from the MINTEL GNPD food innovation database, and will be benchmarked/enhanced to work on other food Database soon (report to section "Improvements Planification"). Full Changelog: https://github.com/Pythrix/FOODCOP/commits/v1.11.12

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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
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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2