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Software . 2017
Data sources: Datacite
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Software . 2017
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Software . 2017
Data sources: Datacite
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jtauber/pyuca: 1.2

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Sep 2017Publisher:Zenodo
Authors: Tauber, James; Beaven, Chris; Čihař, Michal; McLanahan, Paul; Oliveira, Bruno;
Code repository: https://github.com/jtauber/pyuca/tree/v1.2

doi: 10.5281/zenodo.996894 , 10.5281/zenodo.591559

jtauber/pyuca: 1.2

Abstract

This adds support for Unicode 8.0.0 on Python 3.5, 9.0.0 on 3.6, and 10.0.0 on 3.7-dev. allkeys.txt are shipped for 8.0.0, 9.0.0, and 10.0.0 as well as the exisiting 5.2.0 and 6.3.0 support for @implicitweights in collation element tables was added the implicit weight calculation code was extended not only to support @implictweights but also code point additions to the blocks in the Han Database from pyuca import Collator will give a Collator appropriate to the Python version (not just 2 vs 3 but 3.4 vs 3.5 vs 3.6 vs 3.7+) fixed some inconsistent code formatting and misspellings

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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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