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Mouse models of atherosclerosis: a historical perspective and recent advances

Overview of attention for article published in Lipids in Health and Disease, January 2017
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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 (81st percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
282 Mendeley
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Title
Mouse models of atherosclerosis: a historical perspective and recent advances
Published in
Lipids in Health and Disease, January 2017
DOI 10.1186/s12944-016-0402-5
Pubmed ID
Authors

Yee Ting Lee, Hiu Yu Lin, Yin Wah Fiona Chan, Ka Hou Christien Li, Olivia Tsz Ling To, Bryan P Yan, Tong Liu, Guangping Li, Wing Tak Wong, Wendy Keung, Gary Tse

Abstract

Atherosclerosis represents a significant cause of morbidity and mortality in both the developed and developing countries. Animal models of atherosclerosis have served as valuable tools for providing insights on its aetiology, pathophysiology and complications. They can be used for invasive interrogation of physiological function and provide a platform for testing the efficacy and safety of different pharmacological therapies. Compared to studies using human subjects, animal models have the advantages of being easier to manage, with controllable diet and environmental risk factors. Moreover, pathophysiological changes can be induced either genetically or pharmacologically to study the harmful effects of these interventions. There is no single ideal animal model, as different systems are suitable for different research objectives. A good understanding of the similarities and differences to humans enables effective extrapolation of data for translational application. In this article, we will examine the different mouse models for the study and elucidation of the pathophysiological mechanisms underlying atherosclerosis. We also review recent advances in the field, such as the role of oxidative stress in promoting endoplasmic reticulum stress, mitochondrial dysfunction and mitochondrial DNA damage, which can result in vascular inflammation and atherosclerosis. Finally, novel therapeutic approaches to reduce vascular damage caused by chronic inflammation using microRNA and nano-medicine technology, are discussed.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Unknown 280 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 53 19%
Student > Ph. D. Student 49 17%
Student > Master 46 16%
Student > Doctoral Student 17 6%
Researcher 16 6%
Other 31 11%
Unknown 70 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 21%
Medicine and Dentistry 45 16%
Agricultural and Biological Sciences 27 10%
Pharmacology, Toxicology and Pharmaceutical Science 19 7%
Immunology and Microbiology 15 5%
Other 38 13%
Unknown 78 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 June 2020.
All research outputs
#2,273,003
of 18,009,382 outputs
Outputs from Lipids in Health and Disease
#153
of 1,214 outputs
Outputs of similar age
#49,638
of 269,382 outputs
Outputs of similar age from Lipids in Health and Disease
#1
of 1 outputs
Altmetric has tracked 18,009,382 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 86% 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 269,382 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 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them