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Accelerating Improvement of Livestock with Genomic Selection

Overview of attention for article published in Annual Review of Animal Biosciences, January 2013
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Title
Accelerating Improvement of Livestock with Genomic Selection
Published in
Annual Review of Animal Biosciences, January 2013
DOI 10.1146/annurev-animal-031412-103705
Pubmed ID
Authors

Theo Meuwissen, Ben Hayes, Mike Goddard

Abstract

Three recent breakthroughs have resulted in the current widespread use of DNA information: the genomic selection (GS) methodology, which is a form of marker-assisted selection on a genome-wide scale, and the discovery of large numbers of single-nucleotide markers and cost effective methods to genotype them. GS estimates the effect of thousands of DNA markers simultaneously. Nonlinear estimation methods yield higher accuracy, especially for traits with major genes. The marker effects are estimated in a genotyped and phenotyped training population and are used for the estimation of breeding values of selection candidates by combining their genotypes with the estimated marker effects. The benefits of GS are greatest when selection is for traits that are not themselves recorded on the selection candidates before they can be selected. In the future, genome sequence data may replace SNP genotypes as markers. This could increase GS accuracy because the causative mutations should be included in the data.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Brazil 3 <1%
Colombia 2 <1%
Germany 1 <1%
United Kingdom 1 <1%
India 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 290 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 21%
Student > Ph. D. Student 53 17%
Student > Master 37 12%
Student > Doctoral Student 19 6%
Student > Bachelor 18 6%
Other 54 18%
Unknown 59 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 172 57%
Biochemistry, Genetics and Molecular Biology 28 9%
Veterinary Science and Veterinary Medicine 8 3%
Computer Science 7 2%
Engineering 4 1%
Other 12 4%
Unknown 73 24%
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 17 March 2013.
All research outputs
#15,267,294
of 22,703,044 outputs
Outputs from Annual Review of Animal Biosciences
#136
of 182 outputs
Outputs of similar age
#181,476
of 280,707 outputs
Outputs of similar age from Annual Review of Animal Biosciences
#13
of 17 outputs
Altmetric has tracked 22,703,044 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 182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 19th percentile – i.e., 19% 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 280,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.