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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks
|
|---|---|
| Published in |
Remote Sensing, February 2020
|
| DOI | 10.3390/rs12040644 |
| Authors |
Ling Du, Gregory W. McCarty, Xin Zhang, Megan W. Lang, Melanie K. Vanderhoof, Xia Li, Chengquan Huang, Sangchul Lee, Zhenhua Zou |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Researcher | 5 | 9% |
| Lecturer | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 22 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 15% |
| Earth and Planetary Sciences | 7 | 13% |
| Environmental Science | 5 | 9% |
| Computer Science | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 25 | 46% |
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 06 April 2021.
All research outputs
#7,270,369
of 23,202,641 outputs
Outputs from Remote Sensing
#2,970
of 11,592 outputs
Outputs of similar age
#158,009
of 459,071 outputs
Outputs of similar age from Remote Sensing
#133
of 627 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,592 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 73% 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 459,071 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 65% of its contemporaries.
We're also able to compare this research output to 627 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.