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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods
|
|---|---|
| Published in |
Frontiers in Plant Science, November 2019
|
| DOI | 10.3389/fpls.2019.01311 |
| Pubmed ID | |
| Authors |
Osval A. Montesinos-López, Abelardo Montesinos-López, Roberto Tuberosa, Marco Maccaferri, Giuseppe Sciara, Karim Ammar, José Crossa |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 13 | 16% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 14% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 46% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Computer Science | 3 | 4% |
| Mathematics | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 26 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 January 2020.
All research outputs
#7,515,630
of 24,703,339 outputs
Outputs from Frontiers in Plant Science
#4,390
of 23,533 outputs
Outputs of similar age
#131,383
of 372,405 outputs
Outputs of similar age from Frontiers in Plant Science
#154
of 486 outputs
Altmetric has tracked 24,703,339 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 23,533 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 372,405 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 64% of its contemporaries.
We're also able to compare this research output to 486 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 66% of its contemporaries.