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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multibreed genome wide association can improve precision of mapping causative variants underlying milk production in dairy cattle
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-62 |
| Pubmed ID | |
| Authors |
Lesley-Ann Raven, Benjamin G Cocks, Ben J Hayes |
| Abstract |
Genome wide association studies (GWAS) in most cattle breeds result in large genomic intervals of significant associations making it difficult to identify causal mutations. This is due to the extensive, low-level linkage disequilibrium within a cattle breed. As there is less linkage disequilibrium across breeds, multibreed GWAS may improve precision of causal variant mapping. Here we test this hypothesis in a Holstein and Jersey cattle data set with 17,925 individuals with records for production and functional traits and 632,003 SNP markers. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 111 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 27% |
| Researcher | 23 | 20% |
| Student > Master | 18 | 15% |
| Student > Doctoral Student | 5 | 4% |
| Other | 5 | 4% |
| Other | 10 | 9% |
| Unknown | 24 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 59% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Veterinary Science and Veterinary Medicine | 4 | 3% |
| Engineering | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 29 | 25% |
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 24 January 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#281,376
of 320,954 outputs
Outputs of similar age from BMC Genomics
#174
of 204 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 320,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 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.