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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
|
|---|---|
| Published in |
Genetics Selection Evolution, November 2018
|
| DOI | 10.1186/s12711-018-0426-6 |
| Pubmed ID | |
| Authors |
Andres Legarra, Antonio Reverter |
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 % |
|---|---|---|
| Canada | 1 | 17% |
| Spain | 1 | 17% |
| United Kingdom | 1 | 17% |
| Belgium | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 17 | 16% |
| Researcher | 15 | 14% |
| Student > Doctoral Student | 7 | 7% |
| Other | 7 | 7% |
| Other | 14 | 13% |
| Unknown | 29 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 47% |
| Medicine and Dentistry | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Veterinary Science and Veterinary Medicine | 4 | 4% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 38 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 March 2020.
All research outputs
#7,547,182
of 25,998,826 outputs
Outputs from Genetics Selection Evolution
#243
of 842 outputs
Outputs of similar age
#128,564
of 369,706 outputs
Outputs of similar age from Genetics Selection Evolution
#12
of 20 outputs
Altmetric has tracked 25,998,826 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 842 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% 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 369,706 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 64% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.