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Detection of selective sweeps in cattle using genome-wide SNP data

Overview of attention for article published in BMC Genomics, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
4 X users

Citations

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94 Dimensions

Readers on

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155 Mendeley
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Title
Detection of selective sweeps in cattle using genome-wide SNP data
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-382
Pubmed ID
Authors

Holly R Ramey, Jared E Decker, Stephanie D McKay, Megan M Rolf, Robert D Schnabel, Jeremy F Taylor

Abstract

The domestication and subsequent selection by humans to create breeds and biological types of cattle undoubtedly altered the patterning of variation within their genomes. Strong selection to fix advantageous large-effect mutations underlying domesticability, breed characteristics or productivity created selective sweeps in which variation was lost in the chromosomal region flanking the selected allele. Selective sweeps have now been identified in the genomes of many animal species including humans, dogs, horses, and chickens. Here, we attempt to identify and characterise regions of the bovine genome that have been subjected to selective sweeps.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Hungary 1 <1%
Italy 1 <1%
Colombia 1 <1%
Finland 1 <1%
Australia 1 <1%
Unknown 148 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 21%
Student > Ph. D. Student 23 15%
Student > Master 21 14%
Student > Bachelor 14 9%
Student > Doctoral Student 9 6%
Other 31 20%
Unknown 24 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 54%
Biochemistry, Genetics and Molecular Biology 16 10%
Environmental Science 6 4%
Medicine and Dentistry 5 3%
Veterinary Science and Veterinary Medicine 4 3%
Other 9 6%
Unknown 31 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 February 2016.
All research outputs
#1,715,177
of 22,689,790 outputs
Outputs from BMC Genomics
#421
of 10,617 outputs
Outputs of similar age
#15,502
of 197,448 outputs
Outputs of similar age from BMC Genomics
#8
of 118 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,617 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 197,448 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 92% of its contemporaries.
We're also able to compare this research output to 118 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 93% of its contemporaries.