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A cross-sectional assessment of metabolic syndrome in HIV-infected people of low socio-economic status receiving antiretroviral therapy

Overview of attention for article published in Diabetology & Metabolic Syndrome, March 2015
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Title
A cross-sectional assessment of metabolic syndrome in HIV-infected people of low socio-economic status receiving antiretroviral therapy
Published in
Diabetology & Metabolic Syndrome, March 2015
DOI 10.1186/s13098-015-0008-5
Pubmed ID
Authors

Eduard Tiozzo, Janet Konefal, Sarah Adwan, Lynell A Martinez, Juan Villabona, Johanna Lopez, Stacy Cutrono, Syed Muhammad Ahsan Mehdi, Allan Rodriguez, Judi M Woolger, John E Lewis

Abstract

Metabolic syndrome (MetS) is a constellation of symptoms used as a measure to identify patients at increased risk for cardiovascular disease, type 2 diabetes, and all-cause mortality. The results of prolonged life expectancy and cumulative toxic effects of antiretroviral therapy increase the chance that HIV can cause clinical abnormalities, including MetS.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 25%
Student > Postgraduate 8 10%
Student > Ph. D. Student 8 10%
Student > Bachelor 6 7%
Researcher 6 7%
Other 16 19%
Unknown 19 23%
Readers by discipline Count As %
Medicine and Dentistry 33 39%
Nursing and Health Professions 12 14%
Social Sciences 3 4%
Agricultural and Biological Sciences 2 2%
Business, Management and Accounting 2 2%
Other 12 14%
Unknown 20 24%
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 16 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Diabetology & Metabolic Syndrome
#561
of 665 outputs
Outputs of similar age
#218,402
of 258,831 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#16
of 22 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 1st percentile – i.e., 1% 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 258,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.