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Pharmacy refill adherence outperforms self-reported methods in predicting HIV therapy outcome in resource-limited settings

Overview of attention for article published in BMC Public Health, October 2014
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198 Mendeley
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Title
Pharmacy refill adherence outperforms self-reported methods in predicting HIV therapy outcome in resource-limited settings
Published in
BMC Public Health, October 2014
DOI 10.1186/1471-2458-14-1035
Pubmed ID
Authors

Raphael Z Sangeda, Fausta Mosha, Mattia Prosperi, Said Aboud, Jurgen Vercauteren, Ricardo J Camacho, Eligius F Lyamuya, Eric Van Wijngaerden, Anne-Mieke Vandamme

Abstract

Optimal adherence to antiretroviral therapy is critical to prevent HIV drug resistance (HIVDR) epidemic. The objective of the study was to investigate the best performing adherence assessment method for predicting virological failure in resource-limited settings (RLS).

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 2 1%
United Kingdom 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 193 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 21%
Student > Ph. D. Student 31 16%
Student > Bachelor 17 9%
Researcher 15 8%
Student > Postgraduate 13 7%
Other 39 20%
Unknown 42 21%
Readers by discipline Count As %
Medicine and Dentistry 57 29%
Pharmacology, Toxicology and Pharmaceutical Science 21 11%
Nursing and Health Professions 19 10%
Social Sciences 15 8%
Agricultural and Biological Sciences 8 4%
Other 30 15%
Unknown 48 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 January 2015.
All research outputs
#14,786,597
of 22,765,347 outputs
Outputs from BMC Public Health
#10,878
of 14,838 outputs
Outputs of similar age
#140,137
of 254,034 outputs
Outputs of similar age from BMC Public Health
#195
of 263 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,838 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% 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 254,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.