| Title |
Timeliness of Clinic Attendance Is a Good Predictor of Virological Response and Resistance to Antiretroviral Drugs in HIV-Infected Patients
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049091 |
| Pubmed ID | |
| Authors |
Mathieu Bastard, Loretxu Pinoges, Suna Balkan, Elisabeth Szumilin, Cecilia Ferreyra, Mar Pujades-Rodriguez |
| Abstract |
Ensuring long-term adherence to therapy is essential for the success of HIV treatment. As access to viral load monitoring and genotyping is poor in resource-limited settings, a simple tool to monitor adherence is needed. We assessed the relationship between an indicator based on timeliness of clinic attendance and virological response and HIV drug resistance. |
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 | 3 | 27% |
| South Africa | 2 | 18% |
| Canada | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 3% |
| Portugal | 1 | 1% |
| Indonesia | 1 | 1% |
| France | 1 | 1% |
| Kenya | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 91 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 22% |
| Researcher | 17 | 17% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 6 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 19 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 37% |
| Social Sciences | 8 | 8% |
| Nursing and Health Professions | 8 | 8% |
| Agricultural and Biological Sciences | 7 | 7% |
| Business, Management and Accounting | 7 | 7% |
| Other | 11 | 11% |
| Unknown | 21 | 21% |