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X Demographics
Mendeley readers
Attention Score in Context
Title |
Virologic versus immunologic monitoring and the rate of accumulated genotypic resistance to first-line antiretroviral drugs in Uganda
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Published in |
BMC Infectious Diseases, December 2012
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DOI | 10.1186/1471-2334-12-381 |
Pubmed ID | |
Authors |
Steven J Reynolds, Hakim Sendagire, Kevin Newell, Barbara Castelnuovo, Immaculate Nankya, Moses Kamya, Thomas C Quinn, Yukari C Manabe, Andrew Kambugu |
Abstract |
Viral load monitoring (VLM) to identify individuals failing antiretroviral therapy (ART) is not widely available in resource-limited settings. We compared the genotypic resistance patterns between clients with VLM versus immunological monitoring (IM). |
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 % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 2% |
Unknown | 42 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 26% |
Student > Ph. D. Student | 5 | 12% |
Student > Master | 5 | 12% |
Student > Doctoral Student | 4 | 9% |
Student > Postgraduate | 2 | 5% |
Other | 6 | 14% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 42% |
Immunology and Microbiology | 7 | 16% |
Nursing and Health Professions | 2 | 5% |
Social Sciences | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 1 | 2% |
Unknown | 12 | 28% |
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 20 January 2013.
All research outputs
#17,675,320
of 22,691,736 outputs
Outputs from BMC Infectious Diseases
#5,065
of 7,643 outputs
Outputs of similar age
#210,067
of 280,466 outputs
Outputs of similar age from BMC Infectious Diseases
#114
of 174 outputs
Altmetric has tracked 22,691,736 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 7,643 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 280,466 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 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.