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X Demographics
Mendeley readers
| Title |
Modeling the within-host dynamics of HIV infection
|
|---|---|
| Published in |
BMC Biology, September 2013
|
| DOI | 10.1186/1741-7007-11-96 |
| Pubmed ID | |
| Authors |
Alan S Perelson, Ruy M Ribeiro |
| Abstract |
The new field of viral dynamics, based on within-host modeling of viral infections, began with models of human immunodeficiency virus (HIV), but now includes many viral infections. Here we review developments in HIV modeling, emphasizing quantitative findings about HIV biology uncovered by studying acute infection, the response to drug therapy and the rate of generation of HIV variants that escape immune responses. We show how modeling has revealed many dynamical features of HIV infection and how it may provide insight into the ultimate cure for this infection. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Germany | 1 | 9% |
| Canada | 1 | 9% |
| Mexico | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 252 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 22% |
| Researcher | 47 | 18% |
| Student > Master | 41 | 16% |
| Student > Doctoral Student | 20 | 8% |
| Student > Bachelor | 18 | 7% |
| Other | 43 | 17% |
| Unknown | 33 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 24% |
| Biochemistry, Genetics and Molecular Biology | 27 | 10% |
| Mathematics | 25 | 10% |
| Medicine and Dentistry | 24 | 9% |
| Immunology and Microbiology | 17 | 7% |
| Other | 62 | 24% |
| Unknown | 43 | 17% |