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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Joint genomic evaluation of French dairy cattle breeds using multiple-trait models
|
|---|---|
| Published in |
Genetics Selection Evolution, December 2012
|
| DOI | 10.1186/1297-9686-44-39 |
| Pubmed ID | |
| Authors |
Sofiene Karoui, María Jesús Carabaño, Clara Díaz, Andrés Legarra |
| Abstract |
Using a multi-breed reference population might be a way of increasing the accuracy of genomic breeding values in small breeds. Models involving mixed-breed data do not take into account the fact that marker effects may differ among breeds. This study was aimed at investigating the impact on accuracy of increasing the number of genotyped candidates in the training set by using a multi-breed reference population, in contrast to single-breed 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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Poland | 1 | 1% |
| France | 1 | 1% |
| Vietnam | 1 | 1% |
| Unknown | 65 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Researcher | 14 | 20% |
| Student > Master | 9 | 13% |
| Lecturer | 4 | 6% |
| Other | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 71% |
| Mathematics | 3 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 12 | 17% |
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 07 December 2012.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#226,464
of 286,016 outputs
Outputs of similar age from Genetics Selection Evolution
#6
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.