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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 (70th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

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59 Dimensions

Readers on

mendeley
67 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 67 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 64 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 11 16%
Student > Master 8 12%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 13 19%
Unknown 9 13%
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 11 16%
Sports and Recreations 6 9%
Chemistry 4 6%
Other 8 12%
Unknown 13 19%

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
#4,693,834
of 15,916,110 outputs
Outputs from Diabetology & Metabolic Syndrome
#115
of 438 outputs
Outputs of similar age
#53,910
of 192,392 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#2
of 4 outputs
Altmetric has tracked 15,916,110 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 438 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 72% 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 192,392 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 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.