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Lipoprotein Subfractions in Metabolic Syndrome and Obesity: Clinical Significance and Therapeutic Approaches

Overview of attention for article published in Nutrients, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
100 Mendeley
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Title
Lipoprotein Subfractions in Metabolic Syndrome and Obesity: Clinical Significance and Therapeutic Approaches
Published in
Nutrients, March 2013
DOI 10.3390/nu5030928
Pubmed ID
Authors

Dragana Nikolic, Niki Katsiki, Giuseppe Montalto, Esma Isenovic, Dimitri Mikhailidis, Manfredi Rizzo

Abstract

Small, dense low density lipoprotein (sdLDL) represents an emerging cardiovascular risk factor, since these particles can be associated with cardiovascular disease (CVD) independently of established risk factors, including plasma lipids. Obese subjects frequently have atherogenic dyslipidaemia, including elevated sdLDL levels, in addition to elevated triglycerides (TG), very low density lipoprotein (VLDL) and apolipoprotein-B, as well as decreased high density lipoprotein cholesterol (HDL-C) levels. Obesity-related co-morbidities, such as metabolic syndrome (MetS) are also characterized by dyslipidaemia. Therefore, agents that favourably modulate LDL subclasses may be of clinical value in these subjects. Statins are the lipid-lowering drug of choice. Also, anti-obesity and lipid lowering drugs other than statins could be useful in these patients. However, the effects of anti-obesity drugs on CVD risk factors remain unclear. We review the clinical significance of sdLDL in being overweight and obesity, as well as the efficacy of anti-obesity drugs on LDL subfractions in these individuals; a short comment on HDL subclasses is also included. Our literature search was based on PubMed and Scopus listings. Further research is required to fully explore both the significance of sdLDL and the efficacy of anti-obesity drugs on LDL subfractions in being overweight, obesity and MetS. Improving the lipoprotein profile in these patients may represent an efficient approach for reducing cardiovascular risk.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Brazil 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Researcher 12 12%
Student > Bachelor 12 12%
Student > Master 12 12%
Other 8 8%
Other 21 21%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 38 38%
Biochemistry, Genetics and Molecular Biology 14 14%
Agricultural and Biological Sciences 13 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Nursing and Health Professions 3 3%
Other 5 5%
Unknown 23 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 06 April 2013.
All research outputs
#1,224,166
of 12,436,395 outputs
Outputs from Nutrients
#1,195
of 4,673 outputs
Outputs of similar age
#15,835
of 143,913 outputs
Outputs of similar age from Nutrients
#6
of 16 outputs
Altmetric has tracked 12,436,395 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has gotten more attention than average, scoring higher than 74% 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 143,913 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.