| Title |
Street masking: a network-based geographic mask for easily protecting geoprivacy
|
|---|---|
| Published in |
International Journal of Health Geographics, July 2020
|
| DOI | 10.1186/s12942-020-00219-z |
| Pubmed ID | |
| Authors |
David Swanlund, Nadine Schuurman, Paul Zandbergen, Mariana Brussoni |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Master | 4 | 10% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 15% |
| Social Sciences | 4 | 10% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 20 | 50% |