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The genetic basis of alcoholism: multiple phenotypes, many genes, complex networks

Overview of attention for article published in Genome Biology (Online Edition), January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
10 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
104 Mendeley
citeulike
1 CiteULike
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Title
The genetic basis of alcoholism: multiple phenotypes, many genes, complex networks
Published in
Genome Biology (Online Edition), January 2012
DOI 10.1186/gb-2012-13-2-239
Pubmed ID
Authors

Tatiana V Morozova, David Goldman, Trudy FC Mackay, Robert RH Anholt

Abstract

Alcoholism is a significant public health problem. A picture of the genetic architecture underlying alcohol-related phenotypes is emerging from genome-wide association studies and work on genetically tractable model organisms.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Germany 2 2%
Sweden 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 94 90%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 19%
Researcher 20 19%
Student > Ph. D. Student 18 17%
Professor > Associate Professor 10 10%
Student > Master 8 8%
Other 21 20%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 42%
Medicine and Dentistry 17 16%
Biochemistry, Genetics and Molecular Biology 10 10%
Psychology 9 9%
Neuroscience 3 3%
Other 13 13%
Unknown 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 13 July 2017.
All research outputs
#1,376,630
of 19,911,970 outputs
Outputs from Genome Biology (Online Edition)
#1,319
of 3,887 outputs
Outputs of similar age
#8,213
of 136,750 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 12 outputs
Altmetric has tracked 19,911,970 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 136,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.