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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species
|
|---|---|
| Published in |
Frontiers in Plant Science, February 2020
|
| DOI | 10.3389/fpls.2020.00025 |
| Pubmed ID | |
| Authors |
Laura M. Zingaretti, Salvador Alejandro Gezan, Luis Felipe V. Ferrão, Luis F. Osorio, Amparo Monfort, Patricio R. Muñoz, Vance M. Whitaker, Miguel Pérez-Enciso |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| Brazil | 3 | 15% |
| Tanzania, United Republic of | 1 | 5% |
| Australia | 1 | 5% |
| Switzerland | 1 | 5% |
| Mexico | 1 | 5% |
| United Kingdom | 1 | 5% |
| Netherlands | 1 | 5% |
| Spain | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 8 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 153 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 15% |
| Researcher | 21 | 14% |
| Student > Master | 20 | 13% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 14 | 9% |
| Unknown | 54 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 39% |
| Biochemistry, Genetics and Molecular Biology | 14 | 9% |
| Computer Science | 11 | 7% |
| Environmental Science | 3 | 2% |
| Veterinary Science and Veterinary Medicine | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 58 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 23 October 2020.
All research outputs
#1,651,687
of 24,858,211 outputs
Outputs from Frontiers in Plant Science
#559
of 23,758 outputs
Outputs of similar age
#39,761
of 461,577 outputs
Outputs of similar age from Frontiers in Plant Science
#19
of 449 outputs
Altmetric has tracked 24,858,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,758 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 461,577 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 91% of its contemporaries.
We're also able to compare this research output to 449 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 95% of its contemporaries.