| Title |
Different models of genetic variation and their effect on genomic evaluation
|
|---|---|
| Published in |
Genetics Selection Evolution, May 2011
|
| DOI | 10.1186/1297-9686-43-18 |
| Pubmed ID | |
| Authors |
Samuel A Clark, John M Hickey, Julius HJ van der Werf |
| Abstract |
The theory of genomic selection is based on the prediction of the effects of quantitative trait loci (QTL) in linkage disequilibrium (LD) with markers. However, there is increasing evidence that genomic selection also relies on "relationships" between individuals to accurately predict genetic values. Therefore, a better understanding of what genomic selection actually predicts is relevant so that appropriate methods of analysis are used in genomic evaluations. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 3 | 1% |
| Denmark | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 207 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 24% |
| Researcher | 50 | 22% |
| Student > Master | 29 | 13% |
| Student > Doctoral Student | 17 | 8% |
| Student > Bachelor | 12 | 5% |
| Other | 32 | 14% |
| Unknown | 31 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 150 | 67% |
| Biochemistry, Genetics and Molecular Biology | 14 | 6% |
| Mathematics | 7 | 3% |
| Computer Science | 4 | 2% |
| Engineering | 4 | 2% |
| Other | 11 | 5% |
| Unknown | 34 | 15% |
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 26 October 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#106,606
of 123,491 outputs
Outputs of similar age from Genetics Selection Evolution
#5
of 7 outputs
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