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Adiponectin in eutrophic and obese children as a biomarker to predict metabolic syndrome and each of its components

Overview of attention for article published in BMC Public Health, January 2013
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1 tweeter

Citations

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34 Dimensions

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53 Mendeley
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Title
Adiponectin in eutrophic and obese children as a biomarker to predict metabolic syndrome and each of its components
Published in
BMC Public Health, January 2013
DOI 10.1186/1471-2458-13-88
Pubmed ID
Authors

Miguel Klünder-Klünder, Samuel Flores-Huerta, Rebeca García-Macedo, Jesús Peralta-Romero, Miguel Cruz

Abstract

Obesity is associated with the rise of noncommunicable diseases worldwide. The pathophysiology behind this disease involves the increase of adipose tissue, being inversely related to adiponectin, but directly related to insulin resistance and metabolic syndrome (MetS). Therefore, this study aimed to determine the relationship between adiponectin levels with each component of MetS in eutrophic and obese Mexican children.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Researcher 9 17%
Student > Bachelor 8 15%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 8%
Other 14 26%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 25 47%
Agricultural and Biological Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 4 8%
Nursing and Health Professions 4 8%
Sports and Recreations 3 6%
Other 6 11%
Unknown 6 11%

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 2013.
All research outputs
#8,250,942
of 10,502,506 outputs
Outputs from BMC Public Health
#6,585
of 7,662 outputs
Outputs of similar age
#214,968
of 307,363 outputs
Outputs of similar age from BMC Public Health
#304
of 343 outputs
Altmetric has tracked 10,502,506 research outputs across all sources so far. This one is in the 12th percentile – i.e., 12% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 6th percentile – i.e., 6% 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 307,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 343 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.