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Serum metabolic profiles in overweight and obese women with and without metabolic syndrome

Overview of attention for article published in Diabetology & Metabolic Syndrome, March 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Serum metabolic profiles in overweight and obese women with and without metabolic syndrome
Published in
Diabetology & Metabolic Syndrome, March 2014
DOI 10.1186/1758-5996-6-40
Pubmed ID
Authors

Petri K Wiklund, Satu Pekkala, Reija Autio, Eveliina Munukka, Leiting Xu, Juha Saltevo, ShuMei Cheng, Urho M Kujala, Markku Alen, Sulin Cheng

Abstract

To identify serum biomarkers through metabolomics approach that distinguishes physically inactive overweight/obese women with metabolic syndrome from those who are metabolically healthy, independent of body weight and fat mass.

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
South Africa 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 22%
Student > Ph. D. Student 11 15%
Student > Master 9 12%
Unspecified 6 8%
Student > Bachelor 5 7%
Other 18 24%
Unknown 9 12%
Readers by discipline Count As %
Medicine and Dentistry 14 19%
Biochemistry, Genetics and Molecular Biology 12 16%
Agricultural and Biological Sciences 11 15%
Sports and Recreations 6 8%
Unspecified 6 8%
Other 12 16%
Unknown 13 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 September 2019.
All research outputs
#6,939,882
of 22,754,104 outputs
Outputs from Diabetology & Metabolic Syndrome
#198
of 661 outputs
Outputs of similar age
#66,833
of 223,365 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#6
of 17 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 661 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 223,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.