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X Demographics
Mendeley readers
| Title |
Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
|
|---|---|
| Published by |
Springer International Publishing, January 2022
|
| DOI | 10.1007/978-3-030-79753-9 |
| ISBNs |
978-3-03-079752-2, 978-3-03-079753-9
|
| Editors |
Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, Francesco Flammini |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Doctoral Student | 2 | 10% |
| Other | 2 | 10% |
| Professor | 2 | 10% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 35% |
| Decision Sciences | 1 | 5% |
| Engineering | 1 | 5% |
| Design | 1 | 5% |
| Unknown | 10 | 50% |