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Mendeley readers
| Title |
Computing travel time when the exact address is unknown: a comparison of point and polygon ZIP code approximation methods
|
|---|---|
| Published in |
International Journal of Health Geographics, April 2009
|
| DOI | 10.1186/1476-072x-8-23 |
| Pubmed ID | |
| Authors |
Ethan M Berke, Xun Shi |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Canada | 2 | 3% |
| Germany | 1 | 2% |
| Kenya | 1 | 2% |
| Unknown | 59 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Researcher | 13 | 20% |
| Student > Master | 9 | 14% |
| Student > Doctoral Student | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 16 | 24% |
| Medicine and Dentistry | 12 | 18% |
| Nursing and Health Professions | 4 | 6% |
| Economics, Econometrics and Finance | 4 | 6% |
| Engineering | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 14 | 21% |