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A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values

Overview of attention for article published in Genetics Selection Evolution, October 2013
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Title
A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values
Published in
Genetics Selection Evolution, October 2013
DOI 10.1186/1297-9686-45-39
Pubmed ID
Authors

Marie Lillehammer, Theo H E Meuwissen, Anna K Sonesson

Abstract

Genomic selection can increase genetic gain within aquaculture breeding programs, but the high costs related to high-density genotyping of a large number of individuals would make the breeding program expensive. In this study, a low-cost method using low-density genotyping of pre-selected candidates and their sibs was evaluated by stochastic simulation.

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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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
India 1 <1%
France 1 <1%
Benin 1 <1%
United Kingdom 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 32%
Student > Ph. D. Student 24 23%
Student > Master 11 10%
Other 8 8%
Student > Doctoral Student 6 6%
Other 14 13%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 63%
Biochemistry, Genetics and Molecular Biology 11 10%
Environmental Science 3 3%
Mathematics 2 2%
Veterinary Science and Veterinary Medicine 2 2%
Other 4 4%
Unknown 17 16%
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 15 October 2013.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#169,018
of 223,859 outputs
Outputs of similar age from Genetics Selection Evolution
#5
of 5 outputs
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So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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