↓ Skip to main content

Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study

Overview of attention for article published in Cardiovascular Diabetology, October 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
89 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study
Published in
Cardiovascular Diabetology, October 2012
DOI 10.1186/1475-2840-11-133
Pubmed ID
Authors

Cécile M Povel, Jolanda MA Boer, N Charlotte Onland-Moret, Martijn ET Dollé, Edith JM Feskens, Yvonne T van der Schouw

Abstract

Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance, weight regulation, inflammation and lipid metabolism. Aim of this study is to investigate the association of single nucleotide polymorphisms (SNPs) involved in these mechanisms with MetS.

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 18%
Student > Ph. D. Student 14 16%
Student > Bachelor 12 13%
Researcher 11 12%
Student > Doctoral Student 6 7%
Other 18 20%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 23 26%
Biochemistry, Genetics and Molecular Biology 16 18%
Agricultural and Biological Sciences 12 13%
Nursing and Health Professions 6 7%
Chemistry 2 2%
Other 11 12%
Unknown 19 21%
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 29 October 2012.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Cardiovascular Diabetology
#1,283
of 1,653 outputs
Outputs of similar age
#158,206
of 202,212 outputs
Outputs of similar age from Cardiovascular Diabetology
#18
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 11th percentile – i.e., 11% 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 202,212 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 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.