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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A fusion approach to forest disturbance mapping using time series ensemble techniques
|
|---|---|
| Published in |
Remote Sensing of Environment, February 2019
|
| DOI | 10.1016/j.rse.2018.11.025 |
| Authors |
Samuel Hislop, Simon Jones, Mariela Soto-Berelov, Andrew Skidmore, Andrew Haywood, Trung H. Nguyen |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Italy | 1 | 9% |
| Mexico | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 19% |
| Researcher | 21 | 13% |
| Student > Master | 20 | 12% |
| Student > Doctoral Student | 13 | 8% |
| Professor | 10 | 6% |
| Other | 29 | 18% |
| Unknown | 40 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 28 | 17% |
| Earth and Planetary Sciences | 28 | 17% |
| Agricultural and Biological Sciences | 21 | 13% |
| Computer Science | 12 | 7% |
| Engineering | 10 | 6% |
| Other | 12 | 7% |
| Unknown | 54 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 February 2019.
All research outputs
#4,525,369
of 25,385,509 outputs
Outputs from Remote Sensing of Environment
#1,133
of 3,693 outputs
Outputs of similar age
#96,697
of 447,265 outputs
Outputs of similar age from Remote Sensing of Environment
#41
of 72 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 69% 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 447,265 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 78% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.