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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2021
|
| DOI | 10.3389/fpls.2020.624273 |
| Pubmed ID | |
| Authors |
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, John Sulik, Milad Eskandari |
X Demographics
The data shown below were collected from the profiles of 15 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 | 27% |
| Switzerland | 1 | 7% |
| Peru | 1 | 7% |
| India | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 184 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 11% |
| Student > Master | 19 | 10% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Doctoral Student | 12 | 7% |
| Student > Bachelor | 10 | 5% |
| Other | 20 | 11% |
| Unknown | 86 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 24% |
| Computer Science | 18 | 10% |
| Engineering | 11 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Environmental Science | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 90 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 11 March 2024.
All research outputs
#2,337,148
of 25,163,238 outputs
Outputs from Frontiers in Plant Science
#964
of 24,162 outputs
Outputs of similar age
#62,467
of 520,323 outputs
Outputs of similar age from Frontiers in Plant Science
#41
of 558 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,162 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 520,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 558 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 92% of its contemporaries.