| Title |
The Evolutionary Analysis of Emerging Low Frequency HIV-1 CXCR4 Using Variants through Time—An Ultra-Deep Approach
|
|---|---|
| Published in |
PLoS Computational Biology, December 2010
|
| DOI | 10.1371/journal.pcbi.1001022 |
| Pubmed ID | |
| Authors |
John Archer, Andrew Rambaut, Bruce E. Taillon, P. Richard Harrigan, Marilyn Lewis, David L. Robertson |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 2 | 2% |
| Sweden | 2 | 2% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 108 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 30% |
| Student > Ph. D. Student | 27 | 22% |
| Student > Master | 11 | 9% |
| Professor > Associate Professor | 9 | 7% |
| Professor | 7 | 6% |
| Other | 23 | 19% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 45% |
| Medicine and Dentistry | 17 | 14% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Computer Science | 10 | 8% |
| Immunology and Microbiology | 5 | 4% |
| Other | 7 | 6% |
| Unknown | 15 | 12% |