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X Demographics
Mendeley readers
| Title |
Predictive Ecological Land Classification From Multi-Decadal Satellite Imagery
|
|---|---|
| Published in |
Frontiers in Forests and Global Change, April 2022
|
| DOI | 10.3389/ffgc.2022.867369 |
| Authors |
Daniel Sousa, Frank W. Davis, Kelly Easterday, Mark Reynolds, Laura Riege, H. Scott Butterfield, Moses Katkowski |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 36% |
| Professor | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 2 | 18% |
| Environmental Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 6 | 55% |