| Title |
Telephone Triage Service Data for Detection of Influenza-Like Illness
|
|---|---|
| Published in |
PLOS ONE, April 2009
|
| DOI | 10.1371/journal.pone.0005260 |
| Pubmed ID | |
| Authors |
W. Katherine Yih, Kathryn S. Teates, Allyson Abrams, Ken Kleinman, Martin Kulldorff, Robert Pinner, Robert Harmon, Stanley Wang, Richard Platt |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 26% |
| Student > Master | 10 | 21% |
| Student > Ph. D. Student | 7 | 15% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 30% |
| Computer Science | 7 | 15% |
| Agricultural and Biological Sciences | 6 | 13% |
| Social Sciences | 4 | 9% |
| Engineering | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 6 | 13% |