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The genomic signature of trait-associated variants

Overview of attention for article published in BMC Genomics, February 2013
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Title
The genomic signature of trait-associated variants
Published in
BMC Genomics, February 2013
DOI 10.1186/1471-2164-14-108
Pubmed ID
Authors

Alida S D Kindt, Pau Navarro, Colin A M Semple, Chris S Haley

Abstract

Genome-wide association studies have identified thousands of SNP variants associated with hundreds of phenotypes. For most associations the causal variants and the molecular mechanisms underlying pathogenesis remain unknown. Exploration of the underlying functional annotations of trait-associated loci has thrown some light on their potential roles in pathogenesis. However, there are some shortcomings of the methods used to date, which may undermine efforts to prioritize variants for further analyses. Here, we introduce and apply novel methods to rigorously identify annotation classes showing enrichment or depletion of trait-associated variants taking into account the underlying associations due to co-location of different functional annotations and linkage disequilibrium.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 1%
United States 1 1%
Canada 1 1%
Australia 1 1%
Unknown 73 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 34%
Researcher 23 30%
Student > Master 5 6%
Professor > Associate Professor 4 5%
Student > Bachelor 3 4%
Other 9 12%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 53%
Biochemistry, Genetics and Molecular Biology 19 25%
Computer Science 4 5%
Medicine and Dentistry 4 5%
Psychology 1 1%
Other 1 1%
Unknown 7 9%
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 27 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from BMC Genomics
#6,664
of 10,616 outputs
Outputs of similar age
#121,044
of 192,548 outputs
Outputs of similar age from BMC Genomics
#73
of 122 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 29th percentile – i.e., 29% 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 192,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.