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Clade homogeneity and Pol gene polymorphisms in chronically HIV-1 infected antiretroviral treatment naive patients after the roll out of ART in Ethiopia

Overview of attention for article published in BMC Infectious Diseases, March 2014
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Title
Clade homogeneity and Pol gene polymorphisms in chronically HIV-1 infected antiretroviral treatment naive patients after the roll out of ART in Ethiopia
Published in
BMC Infectious Diseases, March 2014
DOI 10.1186/1471-2334-14-158
Pubmed ID
Authors

Andargachew Mulu, Thomas Lange, Uwe Gerd Liebert, Melanie Maier

Abstract

Despite the increasing use of antiretroviral treatment (ART) recent data on frequency and pattern of drug resistance mutations in Ethiopia is not available. Furthermore with increasing mobility of people HIV-1 subtypes other than the predominant subtype C may likely be introduced from the neighbouring countries. This study was aimed to determine the molecular characterization and pre-antiretroviral treatment resistance mutations among HIV-1 chronically infected ART naïve patients after the roll out of ART in Ethiopia.

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Master 6 15%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 7%
Lecturer 2 5%
Other 4 10%
Unknown 14 34%
Readers by discipline Count As %
Medicine and Dentistry 9 22%
Immunology and Microbiology 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Agricultural and Biological Sciences 4 10%
Unspecified 1 2%
Other 2 5%
Unknown 16 39%
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 30 January 2015.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from BMC Infectious Diseases
#4,450
of 7,665 outputs
Outputs of similar age
#131,686
of 223,665 outputs
Outputs of similar age from BMC Infectious Diseases
#100
of 150 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,665 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 33rd percentile – i.e., 33% 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 223,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.