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X Demographics
Mendeley readers
| Title |
Modern Technologies for Landslide Monitoring and Prediction
|
|---|---|
| Published by |
Springer Berlin Heidelberg, January 2015
|
| DOI | 10.1007/978-3-662-45931-7 |
| ISBNs |
978-3-66-245930-0, 978-3-66-245931-7
|
| Editors |
Scaioni, Marco |
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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 24% |
| Student > Ph. D. Student | 14 | 19% |
| Researcher | 7 | 10% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 17 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 22 | 31% |
| Engineering | 17 | 24% |
| Environmental Science | 5 | 7% |
| Computer Science | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 21 | 29% |