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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of deep learning applications for genomic selection
|
|---|---|
| Published in |
BMC Genomics, January 2021
|
| DOI | 10.1186/s12864-020-07319-x |
| Pubmed ID | |
| Authors |
Osval Antonio Montesinos-López, Abelardo Montesinos-López, Paulino Pérez-Rodríguez, José Alberto Barrón-López, Johannes W. R. Martini, Silvia Berenice Fajardo-Flores, Laura S. Gaytan-Lugo, Pedro C. Santana-Mancilla, José Crossa |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 14% |
| India | 6 | 12% |
| Brazil | 3 | 6% |
| Belgium | 2 | 4% |
| Germany | 2 | 4% |
| United Kingdom | 2 | 4% |
| Nigeria | 1 | 2% |
| Comoros | 1 | 2% |
| Italy | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 20 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 90% |
| Scientists | 5 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 300 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 15% |
| Researcher | 45 | 15% |
| Student > Master | 34 | 11% |
| Student > Bachelor | 15 | 5% |
| Other | 12 | 4% |
| Other | 41 | 14% |
| Unknown | 107 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 108 | 36% |
| Biochemistry, Genetics and Molecular Biology | 29 | 10% |
| Computer Science | 21 | 7% |
| Engineering | 7 | 2% |
| Neuroscience | 3 | 1% |
| Other | 15 | 5% |
| Unknown | 117 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 14 May 2024.
All research outputs
#1,206,233
of 25,905,864 outputs
Outputs from BMC Genomics
#176
of 11,356 outputs
Outputs of similar age
#33,271
of 531,587 outputs
Outputs of similar age from BMC Genomics
#5
of 167 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,356 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 531,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 167 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 97% of its contemporaries.