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Non-additive Effects in Genomic Selection

Overview of attention for article published in Frontiers in Genetics, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Non-additive Effects in Genomic Selection
Published in
Frontiers in Genetics, March 2018
DOI 10.3389/fgene.2018.00078
Pubmed ID
Authors

Luis Varona, Andres Legarra, Miguel A. Toro, Zulma G. Vitezica

Abstract

In the last decade, genomic selection has become a standard in the genetic evaluation of livestock populations. However, most procedures for the implementation of genomic selection only consider the additive effects associated with SNP (Single Nucleotide Polymorphism) markers used to calculate the prediction of the breeding values of candidates for selection. Nevertheless, the availability of estimates of non-additive effects is of interest because: (i) they contribute to an increase in the accuracy of the prediction of breeding values and the genetic response; (ii) they allow the definition of mate allocation procedures between candidates for selection; and (iii) they can be used to enhance non-additive genetic variation through the definition of appropriate crossbreeding or purebred breeding schemes. This study presents a review of methods for the incorporation of non-additive genetic effects into genomic selection procedures and their potential applications in the prediction of future performance, mate allocation, crossbreeding, and purebred selection. The work concludes with a brief outline of some ideas for future lines of that may help the standard inclusion of non-additive effects in genomic selection.

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X Demographics

The data shown below were collected from the profiles of 11 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 234 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 21%
Researcher 44 19%
Student > Master 30 13%
Student > Doctoral Student 17 7%
Student > Bachelor 12 5%
Other 26 11%
Unknown 57 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 52%
Biochemistry, Genetics and Molecular Biology 22 9%
Veterinary Science and Veterinary Medicine 4 2%
Computer Science 4 2%
Engineering 2 <1%
Other 8 3%
Unknown 72 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 February 2021.
All research outputs
#4,518,602
of 23,025,074 outputs
Outputs from Frontiers in Genetics
#1,364
of 12,073 outputs
Outputs of similar age
#88,665
of 331,974 outputs
Outputs of similar age from Frontiers in Genetics
#30
of 133 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,073 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 331,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.