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Proteomic analysis allows for early detection of potential markers of metabolic impairment in very young obese children

Overview of attention for article published in International Journal of Pediatric Endocrinology, June 2014
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Title
Proteomic analysis allows for early detection of potential markers of metabolic impairment in very young obese children
Published in
International Journal of Pediatric Endocrinology, June 2014
DOI 10.1186/1687-9856-2014-9
Pubmed ID
Authors

Gabriel Á Martos-Moreno, Lucila Sackmann-Sala, Vicente Barrios, Darlene E Berrymann, Shigeru Okada, Jesús Argente, John J Kopchick

Abstract

Early diagnosis of initial metabolic derangements in young obese children could influence their management; however, this impairment is frequently not overt, but subtle and undetectable by routinely used clinical assays. Our aim was to evaluate the ability of serum proteomic analysis to detect these incipient metabolic alterations in comparison to standard clinical methods and to identify new candidate biomarkers.

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

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Master 8 16%
Student > Bachelor 6 12%
Researcher 5 10%
Other 4 8%
Other 10 20%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Biochemistry, Genetics and Molecular Biology 8 16%
Agricultural and Biological Sciences 6 12%
Sports and Recreations 2 4%
Nursing and Health Professions 2 4%
Other 7 14%
Unknown 10 20%
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 25 June 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from International Journal of Pediatric Endocrinology
#128
of 137 outputs
Outputs of similar age
#210,269
of 244,219 outputs
Outputs of similar age from International Journal of Pediatric Endocrinology
#10
of 10 outputs
Altmetric has tracked 25,373,627 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 137 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 244,219 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 10 others from the same source and published within six weeks on either side of this one.