↓ Skip to main content

Animal models of metabolic syndrome: a review

Overview of attention for article published in Nutrition & Metabolism, October 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
2 Facebook pages

Citations

dimensions_citation
262 Dimensions

Readers on

mendeley
594 Mendeley
citeulike
2 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
Animal models of metabolic syndrome: a review
Published in
Nutrition & Metabolism, October 2016
DOI 10.1186/s12986-016-0123-9
Pubmed ID
Authors

Sok Kuan Wong, Kok-Yong Chin, Farihah Hj Suhaimi, Ahmad Fairus, Soelaiman Ima-Nirwana

Abstract

Metabolic syndrome (MetS) consists of several medical conditions that collectively predict the risk for cardiovascular disease better than the sum of individual conditions. The risk of developing MetS in human depends on synergy of both genetic and environmental factors. Being a multifactorial condition with alarming rate of prevalence nowadays, establishment of appropriate experimental animal models mimicking the disease state in humans is crucial in order to solve the difficulties in evaluating the pathophysiology of MetS in human. This review aims to summarize the underlying mechanisms involved in the pathophysiology of dietary, genetic, and pharmacological models of MetS. Furthermore, we will discuss the usefulness, suitability, pros and cons of these animal models. Even though numerous animal models of MetS have been established, further investigations on the invention of new animal model and clarification of plausible mechanisms are still necessary to confer a better understanding to researchers on the selection of animal models for their studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 594 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 <1%
Unknown 593 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 93 16%
Student > Ph. D. Student 84 14%
Student > Master 75 13%
Researcher 52 9%
Student > Doctoral Student 36 6%
Other 91 15%
Unknown 163 27%
Readers by discipline Count As %
Medicine and Dentistry 101 17%
Biochemistry, Genetics and Molecular Biology 86 14%
Agricultural and Biological Sciences 72 12%
Pharmacology, Toxicology and Pharmaceutical Science 57 10%
Nursing and Health Professions 20 3%
Other 74 12%
Unknown 184 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 September 2019.
All research outputs
#13,482,115
of 22,893,031 outputs
Outputs from Nutrition & Metabolism
#560
of 949 outputs
Outputs of similar age
#168,400
of 319,862 outputs
Outputs of similar age from Nutrition & Metabolism
#14
of 25 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 39th percentile – i.e., 39% 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 319,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.