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A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS

Overview of attention for article published in BMC Genomics, October 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
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1 research highlight platform

Citations

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77 Dimensions

Readers on

mendeley
126 Mendeley
citeulike
6 CiteULike
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Title
A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-504
Pubmed ID
Authors

Kris Richardson, Chao-Qiang Lai, Laurence D Parnell, Yu-Chi Lee, Jose M Ordovas

Abstract

Gene variants within regulatory regions are thought to be major contributors of the variation of complex traits/diseases. Genome wide association studies (GWAS), have identified scores of genetic variants that appear to contribute to human disease risk. However, most of these variants do not appear to be functional. Thus, the significance of the association may be brought up by still unknown mechanisms or by linkage disequilibrium (LD) with functional polymorphisms. In the present study, focused on functional variants related with the binding of microRNAs (miR), we utilized SNP data, including newly released 1000 Genomes Project data to perform a genome-wide scan of SNPs that abrogate or create miR recognition element (MRE) seed sites (MRESS).

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Netherlands 2 2%
United Kingdom 2 2%
Brazil 2 2%
Italy 1 <1%
Norway 1 <1%
Chile 1 <1%
Canada 1 <1%
France 1 <1%
Other 2 2%
Unknown 107 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 28 22%
Student > Master 14 11%
Professor > Associate Professor 13 10%
Student > Doctoral Student 8 6%
Other 27 21%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 56%
Biochemistry, Genetics and Molecular Biology 20 16%
Medicine and Dentistry 10 8%
Computer Science 7 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 6 5%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 29 March 2014.
All research outputs
#1,511,714
of 22,653,392 outputs
Outputs from BMC Genomics
#345
of 10,607 outputs
Outputs of similar age
#7,450
of 135,895 outputs
Outputs of similar age from BMC Genomics
#5
of 93 outputs
Altmetric has tracked 22,653,392 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 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 135,895 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 94% of its contemporaries.
We're also able to compare this research output to 93 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 94% of its contemporaries.