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X Demographics
Mendeley readers
| Chapter title |
Radar Technologies for Landslide Detection, Monitoring, Early Warning and Emergency Management
|
|---|---|
| Chapter number | 11 |
| Book title |
Modern Technologies for Landslide Monitoring and Prediction
|
| Published by |
Springer Berlin Heidelberg, February 2016
|
| DOI | 10.1007/978-3-662-45931-7_11 |
| Book ISBNs |
978-3-66-245930-0, 978-3-66-245931-7
|
| Authors |
Chiara Del Ventisette, Giovanni Gigli, Veronica Tofani, Ping Lu, Nicola Casagli |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 22% |
| Unspecified | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 2 | 22% |
| Unspecified | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Computer Science | 1 | 11% |
| Unknown | 4 | 44% |