| Title |
Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data
|
|---|---|
| Published in |
PLoS Computational Biology, December 2010
|
| DOI | 10.1371/journal.pcbi.1001021 |
| Pubmed ID | |
| Authors |
Fabrizio Iozzi, Francesco Trusiano, Matteo Chinazzi, Francesco C. Billari, Emilio Zagheni, Stefano Merler, Marco Ajelli, Emanuele Del Fava, Piero Manfredi |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 3% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Kenya | 1 | 1% |
| Australia | 1 | 1% |
| Austria | 1 | 1% |
| Vietnam | 1 | 1% |
| Brazil | 1 | 1% |
| New Zealand | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 84 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 28% |
| Researcher | 26 | 27% |
| Student > Master | 8 | 8% |
| Professor > Associate Professor | 6 | 6% |
| Other | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 19% |
| Agricultural and Biological Sciences | 14 | 14% |
| Mathematics | 13 | 13% |
| Social Sciences | 10 | 10% |
| Computer Science | 8 | 8% |
| Other | 19 | 19% |
| Unknown | 15 | 15% |