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License: https://opensource.org/licenses/MIT
Data sources: Datacite
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License: http://opensource.org/licenses/MIT
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Source code for the GWAS Diversity Monitor

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Jan 2020Publisher:ZenodoFunded by:EC | SOCIOGENOME
Authors: Boef, Nynke; Brunier, Quentin; Knowles, Ian; Malowany, Alex; May, Jamie; Mills, Melinda C.; Misseri, Lea; +4 Authors

doi: 10.5281/zenodo.3600471 , 10.5281/zenodo.3600472

Source code for the GWAS Diversity Monitor

Abstract

{"references": ["Mills, M.C. and Rahal, C., (2020), 'Tracking GWAS diversity by disease requires real-time monitoring', Accepted at Nature Genetics."]}

Funded by ERC grants 615603 and 835079 and a British Academy Postdoctoral Fellowship.

This is the first full release of the code which powers the GWAS Diversity Monitor.

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Keywords

python, d3js, genomics, interactive dashboard, diversity

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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
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1
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