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Mendeley readers
| Title |
Big Data for Remote Sensing: Visualization, Analysis and Interpretation
|
|---|---|
| Published by |
Springer International Publishing, July 2018
|
| DOI | 10.1007/978-3-319-89923-7 |
| ISBNs |
978-3-31-989922-0, 978-3-31-989923-7
|
| Editors |
Dey, Nilanjan, Bhatt, Chintan, Ashour, Amira S. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 18% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 5 | 8% |
| Researcher | 4 | 6% |
| Lecturer | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 21 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 14 | 21% |
| Computer Science | 6 | 9% |
| Engineering | 5 | 8% |
| Environmental Science | 4 | 6% |
| Business, Management and Accounting | 2 | 3% |
| Other | 12 | 18% |
| Unknown | 23 | 35% |