| Title |
Analysis of HIV Using a High Resolution Melting (HRM) Diversity Assay: Automation of HRM Data Analysis Enhances the Utility of the Assay for Analysis of HIV Incidence
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0051359 |
| Pubmed ID | |
| Authors |
Matthew M. Cousins, David Swan, Craig A. Magaret, Donald R. Hoover, Susan H. Eshleman |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| United Kingdom | 1 | 3% |
| Japan | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 27 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 19% |
| Researcher | 4 | 13% |
| Professor > Associate Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 8 | 25% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Medicine and Dentistry | 3 | 9% |
| Chemical Engineering | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 10 | 31% |