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Mendeley readers
| Title |
Using an agent-based model to analyze the dynamic communication network of the immune response
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, January 2011
|
| DOI | 10.1186/1742-4682-8-1 |
| Pubmed ID | |
| Authors |
Virginia A Folcik, Gordon Broderick, Shunmugam Mohan, Brian Block, Chirantan Ekbote, John Doolittle, Marc Khoury, Luke Davis, Clay B Marsh |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Portugal | 1 | 2% |
| Ireland | 1 | 2% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 59 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 30% |
| Researcher | 15 | 23% |
| Student > Master | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 32% |
| Engineering | 9 | 14% |
| Medicine and Dentistry | 8 | 12% |
| Computer Science | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 9 | 14% |