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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid screening for phenotype-genotype associations by linear transformations of genomic evaluations
|
|---|---|
| Published in |
BMC Bioinformatics, July 2014
|
| DOI | 10.1186/1471-2105-15-246 |
| Pubmed ID | |
| Authors |
Jose L Gualdrón Duarte, Rodolfo JC Cantet, Ronald O Bates, Catherine W Ernst, Nancy E Raney, Juan P Steibel |
| Abstract |
Currently, association studies are analysed using statistical mixed models, with marker effects estimated by a linear transformation of genomic breeding values. The variances of marker effects are needed when performing the tests of association. However, approaches used to estimate the parameters rely on a prior variance or on a constant estimate of the additive variance. Alternatively, we propose a standardized test of association using the variance of each marker effect, which generally differ among each other. Random breeding values from a mixed model including fixed effects and a genomic covariance matrix are linearly transformed to estimate the marker effects. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 17% |
| Puerto Rico | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| United States | 1 | 1% |
| Denmark | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 23% |
| Researcher | 20 | 23% |
| Student > Master | 10 | 11% |
| Student > Postgraduate | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 16 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 53% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Computer Science | 6 | 7% |
| Veterinary Science and Veterinary Medicine | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 21 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 February 2022.
All research outputs
#6,841,913
of 23,114,117 outputs
Outputs from BMC Bioinformatics
#2,588
of 7,330 outputs
Outputs of similar age
#64,569
of 229,734 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 132 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 229,734 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.