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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Techniques for Modelling Short Term Land-Use Change
|
|---|---|
| Published in |
ISPRS International Journal of Geo-Information, November 2017
|
| DOI | 10.3390/ijgi6120387 |
| Authors |
Mileva Samardžić-Petrović, Miloš Kovačević, Branislav Bajat, Suzana Dragićević |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| India | 1 | 7% |
| South Africa | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 3 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 19% |
| Student > Ph. D. Student | 18 | 17% |
| Researcher | 14 | 13% |
| Lecturer | 4 | 4% |
| Student > Doctoral Student | 4 | 4% |
| Other | 17 | 16% |
| Unknown | 30 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 18 | 17% |
| Earth and Planetary Sciences | 14 | 13% |
| Engineering | 13 | 12% |
| Computer Science | 10 | 9% |
| Social Sciences | 4 | 4% |
| Other | 8 | 7% |
| Unknown | 40 | 37% |
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 29 January 2018.
All research outputs
#6,834,712
of 25,622,179 outputs
Outputs from ISPRS International Journal of Geo-Information
#303
of 2,397 outputs
Outputs of similar age
#123,146
of 448,041 outputs
Outputs of similar age from ISPRS International Journal of Geo-Information
#8
of 45 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,397 research outputs from this source. They receive a mean Attention Score of 3.1. 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 448,041 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 72% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.