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Mendeley readers
Attention Score in Context
| Title |
The utility of low-density genotyping for imputation in the Thoroughbred horse
|
|---|---|
| Published in |
Genetics Selection Evolution, February 2014
|
| DOI | 10.1186/1297-9686-46-9 |
| Pubmed ID | |
| Authors |
Laura J Corbin, Andreas Kranis, Sarah C Blott, June E Swinburne, Mark Vaudin, Stephen C Bishop, John A Woolliams |
| Abstract |
Despite the dramatic reduction in the cost of high-density genotyping that has occurred over the last decade, it remains one of the limiting factors for obtaining the large datasets required for genomic studies of disease in the horse. In this study, we investigated the potential for low-density genotyping and subsequent imputation to address this problem. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Ph. D. Student | 10 | 24% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Student > Bachelor | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 52% |
| Veterinary Science and Veterinary Medicine | 5 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Arts and Humanities | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 21% |
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 23 September 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#244,360
of 322,626 outputs
Outputs of similar age from Genetics Selection Evolution
#9
of 12 outputs
Altmetric has tracked 25,373,627 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 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.