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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel approach for next generation water-use mapping using Landsat and Sentinel-2 satellite data
|
|---|---|
| Published in |
Hydrological Sciences Journal, October 2020
|
| DOI | 10.1080/02626667.2020.1817461 |
| Authors |
Ramesh K. Singh, Kul Khand, Stefanie Kagone, Matthew Schauer, Gabriel B. Senay, Zhuoting Wu |
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 States | 10 | 43% |
| France | 1 | 4% |
| Russia | 1 | 4% |
| United Kingdom | 1 | 4% |
| Morocco | 1 | 4% |
| Belize | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Scientists | 4 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Doctoral Student | 5 | 9% |
| Professor | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 18% |
| Environmental Science | 6 | 11% |
| Earth and Planetary Sciences | 6 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Social Sciences | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 24 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 20 November 2020.
All research outputs
#2,012,836
of 23,248,929 outputs
Outputs from Hydrological Sciences Journal
#58
of 762 outputs
Outputs of similar age
#55,616
of 414,981 outputs
Outputs of similar age from Hydrological Sciences Journal
#2
of 17 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 762 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 92% 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 414,981 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 86% 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 has done well, scoring higher than 88% of its contemporaries.