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Mendeley readers
Attention Score in Context
| Title |
Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture
|
|---|---|
| Published in |
Genetics Selection Evolution, February 2017
|
| DOI | 10.1186/s12711-017-0293-6 |
| Pubmed ID | |
| Authors |
Roger L. Vallejo, Timothy D. Leeds, Guangtu Gao, James E. Parsons, Kyle E. Martin, Jason P. Evenhuis, Breno O. Fragomeni, Gregory D. Wiens, Yniv Palti |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 145 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 17% |
| Student > Master | 24 | 16% |
| Researcher | 23 | 16% |
| Student > Doctoral Student | 11 | 8% |
| Student > Bachelor | 7 | 5% |
| Other | 26 | 18% |
| Unknown | 30 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 48% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Environmental Science | 5 | 3% |
| Medicine and Dentistry | 4 | 3% |
| Veterinary Science and Veterinary Medicine | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 36 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 June 2017.
All research outputs
#6,659,785
of 26,017,215 outputs
Outputs from Genetics Selection Evolution
#185
of 837 outputs
Outputs of similar age
#113,045
of 431,660 outputs
Outputs of similar age from Genetics Selection Evolution
#7
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 837 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% 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 431,660 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 73% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.