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 |
Forecasting Corn Yield With Machine Learning Ensembles
|
|---|---|
| Published in |
Frontiers in Plant Science, July 2020
|
| DOI | 10.3389/fpls.2020.01120 |
| Pubmed ID | |
| Authors |
Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 198 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 14% |
| Student > Ph. D. Student | 21 | 11% |
| Researcher | 20 | 10% |
| Student > Doctoral Student | 11 | 6% |
| Student > Bachelor | 11 | 6% |
| Other | 29 | 15% |
| Unknown | 79 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 20% |
| Computer Science | 22 | 11% |
| Engineering | 14 | 7% |
| Environmental Science | 9 | 5% |
| Earth and Planetary Sciences | 8 | 4% |
| Other | 22 | 11% |
| Unknown | 83 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 May 2023.
All research outputs
#7,051,839
of 25,387,668 outputs
Outputs from Frontiers in Plant Science
#3,864
of 24,613 outputs
Outputs of similar age
#148,748
of 426,494 outputs
Outputs of similar age from Frontiers in Plant Science
#138
of 529 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 24,613 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 426,494 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 529 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 73% of its contemporaries.