| Title |
Assessment of the impact of adherence and other predictors during HAART on various CD4 cell responses in resource-limited settings
|
|---|---|
| Published in |
Patient preference and adherence, March 2012
|
| DOI | 10.2147/ppa.s26507 |
| Pubmed ID | |
| Authors |
Danho Pascal Abrogoua, Brou Jerome Kablan, Boua Alexis Thierry Kamenan, Gilles Aulagner, Konan N’Guessan, Christian Zohoré |
| Abstract |
The aim of this study was to quantify, by modeling, the impact of significant predictors on CD4 cell response during antiretroviral therapy in a resource-limited setting. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 23% |
| Student > Master | 6 | 14% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 9 | 20% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 39% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 16% |
| Immunology and Microbiology | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2012.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Patient preference and adherence
#1,046
of 1,733 outputs
Outputs of similar age
#110,816
of 168,428 outputs
Outputs of similar age from Patient preference and adherence
#11
of 13 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,733 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.