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Mendeley readers
| Title |
Advanced Applied Deep Learning
|
|---|---|
| Published by |
Apress, December 2019
|
| DOI | 10.1007/978-1-4842-4976-5 |
| ISBNs |
978-1-4842-4975-8, 978-1-4842-4976-5
|
| Authors |
Michelucci, Umberto |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 196 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 13% |
| Student > Bachelor | 21 | 11% |
| Student > Ph. D. Student | 14 | 7% |
| Lecturer | 10 | 5% |
| Researcher | 8 | 4% |
| Other | 22 | 11% |
| Unknown | 95 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 17% |
| Engineering | 27 | 14% |
| Mathematics | 6 | 3% |
| Social Sciences | 4 | 2% |
| Materials Science | 4 | 2% |
| Other | 21 | 11% |
| Unknown | 101 | 52% |