| Title |
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
|
|---|---|
| Published in |
European Transport Research Review, April 2021
|
| DOI | 10.1186/s12544-021-00485-3 |
| Pubmed ID | |
| Authors |
Vishal Mahajan, Guido Cantelmo, Constantinos Antoniou |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 38 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 16% |
| Social Sciences | 5 | 7% |
| Computer Science | 3 | 4% |
| Arts and Humanities | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 40 | 58% |