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Software . 2016
Data sources: Datacite
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Software . 2016
Data sources: ZENODO
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Software . 2016
Data sources: Datacite
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Software . 2016
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RAPIDpy: New RAPID output, statistical tools, print to csv functions

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Jan 2016Publisher:Zenodo
Authors: Alan Snow;
Code repository: https://github.com/erdc-cm/RAPIDpy/tree/v2.0.0

doi: 10.5281/zenodo.45031 , 10.5281/zenodo.45030

RAPIDpy: New RAPID output, statistical tools, print to csv functions

Abstract

This release begins to introduce the functionality of the new version of RAPID with CF-1.6 compliant output. Additionally, it adds statistical functions for analyzing how good your model results are. Along with this, there are now tools which extract data from the RAPID Qout nectdf file and print them to csv files.

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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
0
Average
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1