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HIV-1 drug resistance-associated mutations among HIV-1 infected drug-naïve antenatal clinic attendees in rural Kenya

Overview of attention for article published in BMC Infectious Diseases, November 2013
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2 X users

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Title
HIV-1 drug resistance-associated mutations among HIV-1 infected drug-naïve antenatal clinic attendees in rural Kenya
Published in
BMC Infectious Diseases, November 2013
DOI 10.1186/1471-2334-13-517
Pubmed ID
Authors

Michael Kiptoo, James Brooks, Raphael W Lihana, Paul Sandstrom, Zipporah Ng’ang’a, Joyceline Kinyua, Nancy Lagat, Fredrick Okoth, Elijah M Songok

Abstract

Access to antiretroviral therapy (ART) has increased dramatically in Sub-Saharan Africa. In Kenya, 560,000 people had access to ART by the end of 2011. This scaling up of ART has raised challenges to the Kenyan health system due to emergence of drug resistant viruses among those on treatment and possible onward transmission. To counter this, and come up with an effective treatment strategy, it has become vital to determine baseline mutations associated with drug resistance among the circulating strains of HIV-1 in Kenya.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 33%
Researcher 13 18%
Student > Doctoral Student 7 10%
Student > Ph. D. Student 7 10%
Lecturer 3 4%
Other 5 7%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Agricultural and Biological Sciences 9 13%
Immunology and Microbiology 9 13%
Biochemistry, Genetics and Molecular Biology 8 11%
Nursing and Health Professions 7 10%
Other 8 11%
Unknown 16 22%
Attention Score in Context

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 26 November 2013.
All research outputs
#17,702,587
of 22,729,647 outputs
Outputs from BMC Infectious Diseases
#5,079
of 7,661 outputs
Outputs of similar age
#153,200
of 214,638 outputs
Outputs of similar age from BMC Infectious Diseases
#87
of 129 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,661 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 27th percentile – i.e., 27% 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 214,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.