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Waist-to-Height Ratio and Cardiovascular Risk Factors in Elderly Individuals at High Cardiovascular Risk

Overview of attention for article published in PLOS ONE, August 2012
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Citations

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Title
Waist-to-Height Ratio and Cardiovascular Risk Factors in Elderly Individuals at High Cardiovascular Risk
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043275
Pubmed ID
Authors

Marta Guasch-Ferré, Mònica Bulló, Miguel Ángel Martínez-González, Dolores Corella, Ramon Estruch, María-Isabel Covas, Fernando Arós, Julia Wärnberg, Miquel Fiol, José Lapetra, Miguel Ángel Muñoz, Lluís Serra-Majem, Xavier Pintó, Nancy Babio, Andrés Díaz-López, Jordi Salas-Salvadó

Abstract

Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes, hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome.

X Demographics

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

Geographical breakdown

Country Count As %
Denmark 2 1%
Spain 1 <1%
Portugal 1 <1%
United States 1 <1%
Unknown 150 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 14%
Student > Ph. D. Student 19 12%
Researcher 18 12%
Student > Doctoral Student 13 8%
Student > Master 13 8%
Other 40 26%
Unknown 30 19%
Readers by discipline Count As %
Medicine and Dentistry 59 38%
Nursing and Health Professions 14 9%
Agricultural and Biological Sciences 10 6%
Psychology 5 3%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 23 15%
Unknown 40 26%
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 27 November 2012.
All research outputs
#18,321,703
of 22,687,320 outputs
Outputs from PLOS ONE
#153,900
of 193,653 outputs
Outputs of similar age
#128,823
of 167,797 outputs
Outputs of similar age from PLOS ONE
#3,333
of 4,229 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 167,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,229 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.