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X Demographics
Mendeley readers
| Title |
Deep Learning for Understanding Satellite Imagery: An Experimental Survey
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2020
|
| DOI | 10.3389/frai.2020.534696 |
| Pubmed ID | |
| Authors |
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Andrzej Pyskir, Piotr Tarasiewicz, Saket Kunwar, Janick Rohrbach, Dave Luo, Manjunath Prasad, Sascha Fleer, Jan Philip Göpfert, Akshat Tandon, Guillaume Mollard, Nikhil Rayaprolu, Marcel Salathe, Malte Schilling |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United Kingdom | 2 | 29% |
| Switzerland | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 12% |
| Student > Master | 10 | 10% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 43 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 21% |
| Engineering | 13 | 13% |
| Environmental Science | 8 | 8% |
| Earth and Planetary Sciences | 7 | 7% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 48 | 47% |