| Title |
Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases
|
|---|---|
| Published in |
PLOS ONE, May 2008
|
| DOI | 10.1371/journal.pone.0002185 |
| Pubmed ID | |
| Authors |
Luís M. A. Bettencourt, Ruy M. Ribeiro |
X Demographics
The data shown below were collected from the profiles of 68 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 12 | 18% |
| United States | 9 | 13% |
| Japan | 5 | 7% |
| Argentina | 2 | 3% |
| Portugal | 2 | 3% |
| Brazil | 2 | 3% |
| United Kingdom | 1 | 1% |
| Peru | 1 | 1% |
| India | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 29 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 72% |
| Scientists | 18 | 26% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| United Kingdom | 3 | 1% |
| Australia | 3 | 1% |
| Mexico | 3 | 1% |
| Belgium | 1 | <1% |
| Egypt | 1 | <1% |
| Afghanistan | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 276 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 22% |
| Student > Ph. D. Student | 63 | 21% |
| Student > Master | 24 | 8% |
| Professor | 19 | 6% |
| Other | 19 | 6% |
| Other | 59 | 20% |
| Unknown | 51 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 16% |
| Mathematics | 37 | 12% |
| Medicine and Dentistry | 34 | 11% |
| Computer Science | 23 | 8% |
| Engineering | 11 | 4% |
| Other | 70 | 23% |
| Unknown | 78 | 26% |