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X Demographics
Mendeley readers
| Title |
DeepEmSat: Deep Emulation for Satellite Data Mining
|
|---|---|
| Published in |
Frontiers in Big Data, December 2019
|
| DOI | 10.3389/fdata.2019.00042 |
| Pubmed ID | |
| Authors |
Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna Nemani, Auroop R. Ganguly |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Researcher | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Student > Master | 2 | 14% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 29% |
| Physics and Astronomy | 2 | 14% |
| Earth and Planetary Sciences | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Philosophy | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |