You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved multi-trait prediction of wheat end-product quality traits by integrating NIR-predicted phenotypes
|
|---|---|
| Published in |
Frontiers in Plant Science, May 2023
|
| DOI | 10.3389/fpls.2023.1167221 |
| Pubmed ID | |
| Authors |
Shiva Azizinia, Daniel Mullan, Allan Rattey, Jayfred Godoy, Hannah Robinson, David Moody, Kerrie Forrest, Gabriel Keeble-Gagnere, Matthew J. Hayden, Josquin FG. Tibbits, Hans D. Daetwyler |
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 % |
|---|---|---|
| Turkey | 1 | 14% |
| United Kingdom | 1 | 14% |
| Mexico | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Master | 1 | 8% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 42% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unknown | 6 | 50% |
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 17 June 2023.
All research outputs
#8,304,172
of 24,995,611 outputs
Outputs from Frontiers in Plant Science
#5,417
of 23,971 outputs
Outputs of similar age
#134,024
of 375,496 outputs
Outputs of similar age from Frontiers in Plant Science
#143
of 876 outputs
Altmetric has tracked 24,995,611 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 23,971 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 76% 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 375,496 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 63% of its contemporaries.
We're also able to compare this research output to 876 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.