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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of machine learning models applied to genomic prediction in animal breeding
|
|---|---|
| Published in |
Frontiers in Genetics, September 2023
|
| DOI | 10.3389/fgene.2023.1150596 |
| Pubmed ID | |
| Authors |
Narjice Chafai, Ichrak Hayah, Isidore Houaga, Bouabid Badaoui |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 38% |
| Burkina Faso | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 7% |
| Student > Master | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Unknown | 18 | 60% |
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 September 2023.
All research outputs
#6,798,801
of 25,051,161 outputs
Outputs from Frontiers in Genetics
#1,959
of 13,487 outputs
Outputs of similar age
#96,231
of 339,371 outputs
Outputs of similar age from Frontiers in Genetics
#35
of 340 outputs
Altmetric has tracked 25,051,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,487 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 85% 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 339,371 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 340 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.