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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
|
|---|---|
| Published in |
Frontiers in Genetics, December 2019
|
| DOI | 10.3389/fgene.2019.01168 |
| Pubmed ID | |
| Authors |
José Crossa, Johannes W.R. Martini, Daniel Gianola, Paulino Pérez-Rodríguez, Diego Jarquin, Philomin Juliana, Osval Montesinos-López, Jaime Cuevas |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 27% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 13 | 15% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 43% |
| Engineering | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Computer Science | 6 | 7% |
| Chemistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 25 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 January 2020.
All research outputs
#15,593,944
of 23,184,056 outputs
Outputs from Frontiers in Genetics
#5,527
of 12,215 outputs
Outputs of similar age
#276,142
of 459,130 outputs
Outputs of similar age from Frontiers in Genetics
#171
of 341 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,215 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 459,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.