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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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 19% |
Student > Ph. D. Student | 8 | 13% |
Student > Bachelor | 5 | 8% |
Researcher | 4 | 6% |
Lecturer | 4 | 6% |
Other | 10 | 16% |
Unknown | 21 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 14 | 22% |
Computer Science | 6 | 9% |
Engineering | 5 | 8% |
Environmental Science | 4 | 6% |
Psychology | 2 | 3% |
Other | 10 | 16% |
Unknown | 23 | 36% |