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X Demographics
Mendeley readers
| Title |
Monitoring Changes and Soil Characterization in Mangrove Forests of the United Arab Emirates Using the Canonical Correlation Forest Model by Multitemporal of Landsat Data
|
|---|---|
| Published in |
Frontiers in Remote Sensing, March 2022
|
| DOI | 10.3389/frsen.2022.782869 |
| Authors |
Samy I. Elmahdy, Tarig A. Ali |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 23% |
| Agricultural and Biological Sciences | 2 | 9% |
| Computer Science | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Unknown | 13 | 59% |