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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automated Extraction of Surface Water Extent from Sentinel-1 Data
|
---|---|
Published in |
Remote Sensing, May 2018
|
DOI | 10.3390/rs10050797 |
Authors |
Wenli Huang, Ben DeVries, Chengquan Huang, Megan W. Lang, John W. Jones, Irena F. Creed, Mark L. Carroll |
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 % |
---|---|---|
Canada | 3 | 21% |
United States | 3 | 21% |
Brazil | 1 | 7% |
Mexico | 1 | 7% |
Australia | 1 | 7% |
Portugal | 1 | 7% |
Unknown | 4 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 50% |
Members of the public | 6 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 340 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 58 | 17% |
Researcher | 58 | 17% |
Student > Master | 50 | 15% |
Student > Bachelor | 23 | 7% |
Student > Doctoral Student | 16 | 5% |
Other | 48 | 14% |
Unknown | 87 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 87 | 26% |
Environmental Science | 66 | 19% |
Engineering | 36 | 11% |
Agricultural and Biological Sciences | 23 | 7% |
Computer Science | 8 | 2% |
Other | 15 | 4% |
Unknown | 105 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 26 April 2021.
All research outputs
#1,795,470
of 25,376,589 outputs
Outputs from Remote Sensing
#458
of 13,286 outputs
Outputs of similar age
#36,671
of 335,593 outputs
Outputs of similar age from Remote Sensing
#14
of 211 outputs
Altmetric has tracked 25,376,589 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 13,286 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 335,593 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 211 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 93% of its contemporaries.