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Genetical genomic determinants of alcohol consumption in rats and humans

Overview of attention for article published in BMC Biology, October 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
3 CiteULike
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Title
Genetical genomic determinants of alcohol consumption in rats and humans
Published in
BMC Biology, October 2009
DOI 10.1186/1741-7007-7-70
Pubmed ID
Authors

Boris Tabakoff, Laura Saba, Morton Printz, Pam Flodman, Colin Hodgkinson, David Goldman, George Koob, Heather N Richardson, Katerina Kechris, Richard L Bell, Norbert Hübner, Matthias Heinig, Michal Pravenec, Jonathan Mangion, Lucie Legault, Maurice Dongier, Katherine M Conigrave, John B Whitfield, John Saunders, Bridget Grant, Paula L Hoffman

Abstract

We have used a genetical genomic approach, in conjunction with phenotypic analysis of alcohol consumption, to identify candidate genes that predispose to varying levels of alcohol intake by HXB/BXH recombinant inbred rat strains. In addition, in two populations of humans, we assessed genetic polymorphisms associated with alcohol consumption using a custom genotyping array for 1,350 single nucleotide polymorphisms (SNPs). Our goal was to ascertain whether our approach, which relies on statistical and informatics techniques, and non-human animal models of alcohol drinking behavior, could inform interpretation of genetic association studies with human populations.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 1 1%
Spain 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 15 20%
Student > Bachelor 7 9%
Professor > Associate Professor 7 9%
Student > Master 7 9%
Other 13 17%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 30%
Medicine and Dentistry 9 12%
Biochemistry, Genetics and Molecular Biology 7 9%
Neuroscience 6 8%
Psychology 5 7%
Other 9 12%
Unknown 17 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2021.
All research outputs
#6,662,772
of 20,501,648 outputs
Outputs from BMC Biology
#1,227
of 1,762 outputs
Outputs of similar age
#96,791
of 315,618 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 20,501,648 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them