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Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain

Overview of attention for article published in Neurobiology of Disease, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
1 CiteULike
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Title
Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain
Published in
Neurobiology of Disease, March 2012
DOI 10.1016/j.nbd.2012.03.020
Pubmed ID
Authors

Dena G. Hernandez, Mike A. Nalls, Matthew Moore, Sean Chong, Allissa Dillman, Daniah Trabzuni, J. Raphael Gibbs, Mina Ryten, Sampath Arepalli, Michael E. Weale, Alan B. Zonderman, Juan Troncoso, Richard O'Brien, Robert Walker, Colin Smith, Stefania Bandinelli, Bryan J. Traynor, John Hardy, Andrew B. Singleton, Mark R. Cookson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Germany 2 1%
United Kingdom 1 <1%
Belgium 1 <1%
New Zealand 1 <1%
Unknown 131 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 36%
Researcher 28 20%
Student > Master 13 9%
Student > Bachelor 10 7%
Student > Doctoral Student 6 4%
Other 15 11%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 37%
Biochemistry, Genetics and Molecular Biology 31 22%
Neuroscience 13 9%
Medicine and Dentistry 11 8%
Computer Science 3 2%
Other 8 6%
Unknown 23 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 September 2014.
All research outputs
#6,782,040
of 26,017,215 outputs
Outputs from Neurobiology of Disease
#1,592
of 3,498 outputs
Outputs of similar age
#43,110
of 172,939 outputs
Outputs of similar age from Neurobiology of Disease
#9
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,498 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 54% 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 172,939 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 74% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.