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Mendeley readers
| Title |
Modeling and detection of respiratory-related outbreak signatures
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2007
|
| DOI | 10.1186/1472-6947-7-28 |
| Pubmed ID | |
| Authors |
Peter F Craigmile, Namhee Kim, Soledad A Fernandez, Bema K Bonsu |
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 % |
|---|---|---|
| United States | 5 | 11% |
| Russia | 1 | 2% |
| Unknown | 40 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Master | 9 | 20% |
| Student > Ph. D. Student | 6 | 13% |
| Professor > Associate Professor | 5 | 11% |
| Other | 4 | 9% |
| Other | 5 | 11% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 33% |
| Agricultural and Biological Sciences | 8 | 17% |
| Business, Management and Accounting | 4 | 9% |
| Engineering | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 5 | 11% |