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The Apoe−/− mouse model: a suitable model to study cardiovascular and respiratory diseases in the context of cigarette smoke exposure and harm reduction

Overview of attention for article published in Journal of Translational Medicine, May 2016
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
2 blogs
twitter
4 X users

Citations

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131 Dimensions

Readers on

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343 Mendeley
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Title
The Apoe−/− mouse model: a suitable model to study cardiovascular and respiratory diseases in the context of cigarette smoke exposure and harm reduction
Published in
Journal of Translational Medicine, May 2016
DOI 10.1186/s12967-016-0901-1
Pubmed ID
Authors

Giuseppe Lo Sasso, Walter K. Schlage, Stéphanie Boué, Emilija Veljkovic, Manuel C. Peitsch, Julia Hoeng

Abstract

Atherosclerosis-prone apolipoprotein E-deficient (Apoe(-/-)) mice display poor lipoprotein clearance with subsequent accumulation of cholesterol ester-enriched particles in the blood, which promote the development of atherosclerotic plaques. Therefore, the Apoe(-/-) mouse model is well established for the study of human atherosclerosis. The systemic proinflammatory status of Apoe(-/-) mice also makes them good candidates for studying chronic obstructive pulmonary disease, characterized by pulmonary inflammation, airway obstruction, and emphysema, and which shares several risk factors with cardiovascular diseases, including smoking. Herein, we review the results from published studies using Apoe(-/-) mice, with a particular focus on work conducted in the context of cigarette smoke inhalation studies. The findings from these studies highlight the suitability of this animal model for researching the effects of cigarette smoking on atherosclerosis and emphysema.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Unknown 341 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 72 21%
Student > Ph. D. Student 63 18%
Student > Master 52 15%
Researcher 25 7%
Student > Doctoral Student 19 6%
Other 25 7%
Unknown 87 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 21%
Medicine and Dentistry 42 12%
Agricultural and Biological Sciences 33 10%
Pharmacology, Toxicology and Pharmaceutical Science 22 6%
Chemistry 16 5%
Other 59 17%
Unknown 100 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 January 2022.
All research outputs
#1,741,843
of 22,858,915 outputs
Outputs from Journal of Translational Medicine
#289
of 4,001 outputs
Outputs of similar age
#32,760
of 333,240 outputs
Outputs of similar age from Journal of Translational Medicine
#10
of 114 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,001 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 92% 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 333,240 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.