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ZENODO
Dataset . 2021
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
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
Dataset . 2021
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
Dataset . 2021
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
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NDDDrugMatcher

Research datakeyboard_double_arrow_right Dataset 14 Dec 2021 English Publisher:Zenodo
Authors: Cacho, Jorge Ramon Fonseca;

doi: 10.5281/zenodo.5717481 , 10.5281/zenodo.5717480

NDDDrugMatcher

Abstract

Copy of https://github.com/SniperJF/NDDDrugMatcher/ (From 12-14-2021) This repository contains code used to parse SQL query results (in csv) from ClinicalTrials.gov that are then processed to identify drugs used in separate trials dealing with separate Neuro Degenerate diseases (NDD) or drugs used in the same trial for different NDD #Before you RUN: insert query files into queries directory. #RUN AS: #First: time python3 nddfilter.py #Next: time python3 drugmatcherv6.py #Then look at output folder for results

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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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Average
4