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ZENODO
Software . 2016
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 . 2016
Data sources: ZENODO
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entrez_qiime: entrez_qiime v1.0

Authors: Chris Baker;

entrez_qiime: entrez_qiime v1.0

Abstract

This is a release of a Python script (entrez_qiime.py) and accompanying guidelines (entrez_qiime.pdf) for a workflow to take an input FASTA file generated from the NCBI database (e.g. through an Entrez search) and generate the files needed to BLAST metabarcode data against those sequences using the QIIME script assign_taxonomy.py. These files have been available from the author Chris Baker essentially unchanged since at least October 2012. This release in September 2016 does not mark any change to the operation of the script, or to the content of the workflow, but rather is intended to provide a stable version for citation and development purposes. No attempt has been made to update the script or accompanying guidelines since 2012. The Python script included in this release (v1.0) relies on the NCBI's use of GI numbers, which will shortly be phased out in favour of accession numbers (https://www.ncbi.nlm.nih.gov/news/03-02-2016-phase-out-of-GI-numbers/). When this change takes place, v1.0 will no longer function correctly with new files downloaded from the NCBI (but of course will continue to work fine with any files downloaded previously). A revised version of the code and workflow guidelines will be developed and made available in due course.

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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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