| Title |
Infectious Disease Modeling of Social Contagion in Networks
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1000968 |
| Pubmed ID | |
| Authors |
Alison L. Hill, David G. Rand, Martin A. Nowak, Nicholas A. Christakis |
X Demographics
The data shown below were collected from the profiles of 80 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 25 | 31% |
| Japan | 5 | 6% |
| Mexico | 4 | 5% |
| United Kingdom | 3 | 4% |
| Canada | 3 | 4% |
| Australia | 2 | 3% |
| Spain | 1 | 1% |
| Romania | 1 | 1% |
| Brazil | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 31 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 59 | 74% |
| Scientists | 18 | 23% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 4% |
| United Kingdom | 6 | 2% |
| Germany | 3 | <1% |
| Mexico | 2 | <1% |
| Indonesia | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 320 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 93 | 26% |
| Researcher | 64 | 18% |
| Student > Master | 43 | 12% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 22 | 6% |
| Other | 79 | 22% |
| Unknown | 34 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 12% |
| Agricultural and Biological Sciences | 43 | 12% |
| Social Sciences | 37 | 10% |
| Medicine and Dentistry | 33 | 9% |
| Psychology | 26 | 7% |
| Other | 121 | 34% |
| Unknown | 56 | 16% |