| Title |
Predicting high-magnitude, low-frequency crop losses using machine learning: an application to cereal crops in Ethiopia
|
|---|---|
| Published in |
Climatic Change, April 2019
|
| DOI | 10.1007/s10584-019-02432-7 |
| Authors |
Michael L. Mann, James M. Warner, Arun S. Malik |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Finland | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 13% |
| Researcher | 10 | 10% |
| Student > Master | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 41 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 10 | 10% |
| Engineering | 8 | 8% |
| Agricultural and Biological Sciences | 7 | 7% |
| Computer Science | 7 | 7% |
| Environmental Science | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 46 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 May 2019.
All research outputs
#2,418,977
of 23,142,049 outputs
Outputs from Climatic Change
#1,831
of 5,829 outputs
Outputs of similar age
#55,090
of 349,766 outputs
Outputs of similar age from Climatic Change
#33
of 69 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,829 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has gotten more attention than average, scoring higher than 67% 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 349,766 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 84% of its contemporaries.
We're also able to compare this research output to 69 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 52% of its contemporaries.