| Title |
Accurate prediction of sugarcane yield using a random forest algorithm
|
|---|---|
| Published in |
Agronomy for Sustainable Development, April 2016
|
| DOI | 10.1007/s13593-016-0364-z |
| Authors |
Yvette Everingham, Justin Sexton, Danielle Skocaj, Geoff Inman-Bamber |
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 % |
|---|---|---|
| Australia | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Unknown | 354 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 74 | 21% |
| Student > Ph. D. Student | 58 | 16% |
| Researcher | 27 | 8% |
| Student > Bachelor | 26 | 7% |
| Student > Doctoral Student | 17 | 5% |
| Other | 54 | 15% |
| Unknown | 100 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 19% |
| Computer Science | 48 | 13% |
| Engineering | 39 | 11% |
| Environmental Science | 22 | 6% |
| Earth and Planetary Sciences | 14 | 4% |
| Other | 41 | 12% |
| Unknown | 123 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 30 May 2016.
All research outputs
#3,268,681
of 22,869,263 outputs
Outputs from Agronomy for Sustainable Development
#296
of 703 outputs
Outputs of similar age
#55,120
of 299,218 outputs
Outputs of similar age from Agronomy for Sustainable Development
#9
of 17 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 56% 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 299,218 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 81% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.