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Overlap of expression Quantitative Trait Loci (eQTL) in human brain and blood.

Overview of attention for article published in BMC Medical Genomics, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 429)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
73 Mendeley
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Title
Overlap of expression Quantitative Trait Loci (eQTL) in human brain and blood.
Published in
BMC Medical Genomics, June 2014
DOI 10.1186/1755-8794-7-31
Pubmed ID
Abstract

Expression quantitative trait loci (eQTL) are genomic regions regulating RNA transcript expression levels. Genome-wide Association Studies (GWAS) have identified many variants, often in non-coding regions, with unknown functions and eQTL provide a possible mechanism by which these variants may influence observable phenotypes. Limited access and availability of tissues such as brain has led to the use of blood as a substitute for eQTL analyses.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
Belgium 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 36%
Researcher 15 21%
Student > Master 9 12%
Student > Doctoral Student 5 7%
Student > Bachelor 4 5%
Other 12 16%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 48%
Biochemistry, Genetics and Molecular Biology 11 15%
Medicine and Dentistry 6 8%
Neuroscience 4 5%
Engineering 2 3%
Other 10 14%
Unknown 5 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 January 2015.
All research outputs
#763,070
of 8,021,884 outputs
Outputs from BMC Medical Genomics
#43
of 429 outputs
Outputs of similar age
#19,756
of 176,598 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 21 outputs
Altmetric has tracked 8,021,884 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 429 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 89% 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 176,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 21 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 90% of its contemporaries.