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Multi-species data integration and gene ranking enrich significant results in an alcoholism genome-wide association study

Overview of attention for article published in BMC Genomics, December 2012
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Title
Multi-species data integration and gene ranking enrich significant results in an alcoholism genome-wide association study
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-s8-s16
Pubmed ID
Authors

Zhongming Zhao, An-Yuan Guo, Edwin JCG van den Oord, Fazil Aliev, Peilin Jia, Howard J Edenberg, Brien P Riley, Danielle M Dick, Jill C Bettinger, Andrew G Davies, Michael S Grotewiel, Marc A Schuckit, Arpana Agrawal, John Kramer, John I Nurnberger, Kenneth S Kendler, Bradley T Webb, Michael F Miles

Abstract

A variety of species and experimental designs have been used to study genetic influences on alcohol dependence, ethanol response, and related traits. Integration of these heterogeneous data can be used to produce a ranked target gene list for additional investigation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 7 17%
Student > Doctoral Student 5 12%
Student > Bachelor 5 12%
Professor 3 7%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Medicine and Dentistry 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Psychology 1 2%
Other 1 2%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 January 2013.
All research outputs
#18,326,065
of 22,693,205 outputs
Outputs from BMC Genomics
#8,146
of 10,616 outputs
Outputs of similar age
#203,097
of 261,299 outputs
Outputs of similar age from BMC Genomics
#296
of 382 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 261,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.