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A novel analytical method, Birth Date Selection Mapping, detects response of the Angus (Bos taurus) genome to selection on complex traits

Overview of attention for article published in BMC Genomics, November 2012
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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9 X users

Citations

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39 Dimensions

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58 Mendeley
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Title
A novel analytical method, Birth Date Selection Mapping, detects response of the Angus (Bos taurus) genome to selection on complex traits
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-606
Pubmed ID
Authors

Jared E Decker, Daniel A Vasco, Stephanie D McKay, Matthew C McClure, Megan M Rolf, JaeWoo Kim, Sally L Northcutt, Stewart Bauck, Brent W Woodward, Robert D Schnabel, Jeremy F Taylor

Abstract

Several methods have recently been developed to identify regions of the genome that have been exposed to strong selection. However, recent theoretical and empirical work suggests that polygenic models are required to identify the genomic regions that are more moderately responding to ongoing selection on complex traits. We examine the effects of multi-trait selection on the genome of a population of US registered Angus beef cattle born over a 50-year period representing approximately 10 generations of selection. We present results from the application of a quantitative genetic model, called Birth Date Selection Mapping, to identify signatures of recent ongoing selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Brazil 1 2%
France 1 2%
Denmark 1 2%
New Zealand 1 2%
Unknown 51 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 9 16%
Student > Doctoral Student 6 10%
Professor > Associate Professor 5 9%
Other 4 7%
Other 13 22%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 53%
Biochemistry, Genetics and Molecular Biology 5 9%
Veterinary Science and Veterinary Medicine 3 5%
Social Sciences 2 3%
Mathematics 1 2%
Other 4 7%
Unknown 12 21%
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 30 December 2021.
All research outputs
#6,088,716
of 24,247,965 outputs
Outputs from BMC Genomics
#2,389
of 10,930 outputs
Outputs of similar age
#43,219
of 185,634 outputs
Outputs of similar age from BMC Genomics
#37
of 140 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,930 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 185,634 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 76% of its contemporaries.
We're also able to compare this research output to 140 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 74% of its contemporaries.