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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2021
|
| DOI | 10.3389/fpls.2020.613325 |
| Pubmed ID | |
| Authors |
Karansher S. Sandhu, Dennis N. Lozada, Zhiwu Zhang, Michael O. Pumphrey, Arron H. Carter |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| United Kingdom | 2 | 22% |
| Switzerland | 1 | 11% |
| France | 1 | 11% |
| India | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 13% |
| Researcher | 13 | 11% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 14 | 12% |
| Unknown | 49 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 33% |
| Computer Science | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Unspecified | 3 | 3% |
| Environmental Science | 3 | 3% |
| Other | 2 | 2% |
| Unknown | 54 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 November 2021.
All research outputs
#5,609,088
of 23,271,751 outputs
Outputs from Frontiers in Plant Science
#2,774
of 21,047 outputs
Outputs of similar age
#135,192
of 502,779 outputs
Outputs of similar age from Frontiers in Plant Science
#116
of 544 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,047 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 502,779 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 73% of its contemporaries.
We're also able to compare this research output to 544 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.