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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning for ecosystem services
|
|---|---|
| Published in |
Ecosystem Services, October 2018
|
| DOI | 10.1016/j.ecoser.2018.04.004 |
| Authors |
Simon Willcock, Javier Martínez-López, Danny A.P. Hooftman, Kenneth J. Bagstad, Stefano Balbi, Alessia Marzo, Carlo Prato, Saverio Sciandrello, Giovanni Signorello, Brian Voigt, Ferdinando Villa, James M. Bullock, Ioannis N. Athanasiadis |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| Spain | 2 | 9% |
| United States | 2 | 9% |
| Netherlands | 2 | 9% |
| Mexico | 1 | 4% |
| South Africa | 1 | 4% |
| Portugal | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Scientists | 6 | 26% |
Mendeley readers
The data shown below were compiled from readership statistics for 437 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 437 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 17% |
| Researcher | 65 | 15% |
| Student > Master | 58 | 13% |
| Student > Bachelor | 32 | 7% |
| Student > Doctoral Student | 22 | 5% |
| Other | 76 | 17% |
| Unknown | 110 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 84 | 19% |
| Agricultural and Biological Sciences | 56 | 13% |
| Engineering | 32 | 7% |
| Computer Science | 28 | 6% |
| Earth and Planetary Sciences | 27 | 6% |
| Other | 70 | 16% |
| Unknown | 140 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 April 2021.
All research outputs
#1,690,413
of 23,332,901 outputs
Outputs from Ecosystem Services
#130
of 1,000 outputs
Outputs of similar age
#37,980
of 344,381 outputs
Outputs of similar age from Ecosystem Services
#2
of 12 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 87% 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 344,381 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 88% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.