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 |
Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network
|
|---|---|
| Published in |
Remote Sensing, September 2015
|
| DOI | 10.3390/rs70912503 |
| Authors |
John W. Jones |
X Demographics
The data shown below were collected from the profiles of 10 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 | 30% |
| Mexico | 1 | 10% |
| India | 1 | 10% |
| Belgium | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 21% |
| Student > Master | 29 | 16% |
| Student > Ph. D. Student | 27 | 15% |
| Student > Postgraduate | 10 | 5% |
| Student > Doctoral Student | 9 | 5% |
| Other | 31 | 17% |
| Unknown | 38 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 50 | 27% |
| Earth and Planetary Sciences | 46 | 25% |
| Engineering | 19 | 10% |
| Agricultural and Biological Sciences | 10 | 5% |
| Unspecified | 3 | 2% |
| Other | 10 | 5% |
| Unknown | 44 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 February 2024.
All research outputs
#4,091,771
of 25,385,509 outputs
Outputs from Remote Sensing
#1,338
of 13,348 outputs
Outputs of similar age
#50,650
of 286,104 outputs
Outputs of similar age from Remote Sensing
#11
of 144 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,348 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 89% 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 286,104 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 82% of its contemporaries.
We're also able to compare this research output to 144 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.