| Title |
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
|
|---|---|
| Published in |
Journal of Big Data, March 2019
|
| DOI | 10.1186/s40537-019-0194-3 |
| Authors |
Sonja Georgievska, Philip Rutten, Jan Amoraal, Elena Ranguelova, Rena Bakhshi, Ben L. de Vries, Michael Lees, Sander Klous |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 22% |
| Computer Science | 9 | 20% |
| Physics and Astronomy | 2 | 4% |
| Unspecified | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 16 | 35% |