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Mendeley readers
Attention Score in Context
| Title |
The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes
|
|---|---|
| Published in |
Genetics Selection Evolution, February 2012
|
| DOI | 10.1186/1297-9686-44-4 |
| Pubmed ID | |
| Authors |
Samuel A Clark, John M Hickey, Hans D Daetwyler, Julius HJ van der Werf |
| Abstract |
The theory of genomic selection is based on the prediction of the effects of genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic selection also relies on relationships between individuals to accurately predict genetic value. This study aimed to examine the importance of information on relatives versus that of unrelated or more distantly related individuals on the estimation of genomic breeding values. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | <1% |
| France | 2 | <1% |
| Australia | 2 | <1% |
| United States | 2 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 262 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 26% |
| Researcher | 61 | 22% |
| Student > Master | 40 | 14% |
| Student > Doctoral Student | 21 | 8% |
| Student > Bachelor | 9 | 3% |
| Other | 31 | 11% |
| Unknown | 44 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 185 | 67% |
| Biochemistry, Genetics and Molecular Biology | 15 | 5% |
| Mathematics | 6 | 2% |
| Veterinary Science and Veterinary Medicine | 5 | 2% |
| Computer Science | 4 | 1% |
| Other | 16 | 6% |
| Unknown | 47 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 July 2012.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Genetics Selection Evolution
#523
of 822 outputs
Outputs of similar age
#169,276
of 254,222 outputs
Outputs of similar age from Genetics Selection Evolution
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 33rd percentile – i.e., 33% 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 254,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them