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Mendeley readers
| Title |
Enhanced spatial models for predicting the geographic distributions of tick-borne pathogens
|
|---|---|
| Published in |
International Journal of Health Geographics, April 2008
|
| DOI | 10.1186/1476-072x-7-15 |
| Pubmed ID | |
| Authors |
Michael C Wimberly, Adam D Baer, Michael J Yabsley |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Italy | 2 | 1% |
| Brazil | 2 | 1% |
| Australia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 147 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 24% |
| Student > Ph. D. Student | 36 | 22% |
| Student > Master | 25 | 15% |
| Student > Doctoral Student | 11 | 7% |
| Professor | 11 | 7% |
| Other | 26 | 16% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 39% |
| Environmental Science | 20 | 12% |
| Veterinary Science and Veterinary Medicine | 15 | 9% |
| Earth and Planetary Sciences | 8 | 5% |
| Social Sciences | 8 | 5% |
| Other | 30 | 18% |
| Unknown | 19 | 12% |