You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selection of a network of large lakes and reservoirs suitable for global environmental change analysis using Earth Observation
|
|---|---|
| Published in |
International Journal of Remote Sensing, June 2016
|
| DOI | 10.1080/01431161.2016.1192702 |
| Authors |
E. Politi, S. MacCallum, M.E.J. Cutler, C.J. Merchant, J.S. Rowan, T.P. Dawson |
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 % |
|---|---|---|
| Canada | 1 | 25% |
| Greece | 1 | 25% |
| United States | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 31% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 40% |
| Earth and Planetary Sciences | 8 | 19% |
| Engineering | 3 | 7% |
| Computer Science | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 November 2016.
All research outputs
#6,919,944
of 22,880,691 outputs
Outputs from International Journal of Remote Sensing
#334
of 1,704 outputs
Outputs of similar age
#113,274
of 351,567 outputs
Outputs of similar age from International Journal of Remote Sensing
#4
of 14 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,704 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 351,567 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 67% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.