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X Demographics
Mendeley readers
| Title |
Monte Carlo Methods
|
|---|---|
| Published by |
Springer Singapore, October 2019
|
| DOI | 10.1007/978-981-13-2971-5 |
| ISBNs |
978-9-81-132970-8, 978-9-81-132971-5
|
| Authors |
Barbu, Adrian, Zhu, Song-Chun |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Japan | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Bachelor | 15 | 13% |
| Researcher | 11 | 10% |
| Professor | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 39 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 24% |
| Computer Science | 10 | 9% |
| Earth and Planetary Sciences | 5 | 4% |
| Chemical Engineering | 3 | 3% |
| Energy | 3 | 3% |
| Other | 23 | 20% |
| Unknown | 42 | 37% |