↓ Skip to main content

Mechanisms of arterial remodeling: lessons from genetic diseases

Overview of attention for article published in Frontiers in Genetics, January 2012
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

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
242 Mendeley
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
Mechanisms of arterial remodeling: lessons from genetic diseases
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00290
Pubmed ID
Authors

Bernard J. van Varik, Roger J. M. W. Rennenberg, Chris P. Reutelingsperger, Abraham A. Kroon, Peter W. de Leeuw, Leon J. Schurgers

Abstract

Vascular disease is still the leading cause of morbidity and mortality in the Western world, and the primary cause of myocardial infarction, stroke, and ischemia. The biology of vascular disease is complex and still poorly understood in terms of causes and consequences. Vascular function is determined by structural and functional properties of the arterial vascular wall. Arterial stiffness, that is a pathological alteration of the vascular wall, ultimately results in target-organ damage and increased mortality. Arterial remodeling is accelerated under conditions that adversely affect the balance between arterial function and structure such as hypertension, atherosclerosis, diabetes mellitus, chronic kidney disease, inflammatory disease, lifestyle aspects (smoking), drugs (vitamin K antagonists), and genetic abnormalities [e.g., pseudoxanthoma elasticum (PXE), Marfan's disease]. The aim of this review is to provide an overview of the complex mechanisms and different factors that underlie arterial remodeling, learning from single gene defect diseases like PXE, and PXE-like, Marfan's disease and Keutel syndrome in vascular remodeling.

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

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Norway 1 <1%
Canada 1 <1%
Unknown 238 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 19%
Student > Master 38 16%
Researcher 30 12%
Student > Bachelor 26 11%
Student > Doctoral Student 13 5%
Other 29 12%
Unknown 59 24%
Readers by discipline Count As %
Medicine and Dentistry 44 18%
Biochemistry, Genetics and Molecular Biology 32 13%
Agricultural and Biological Sciences 28 12%
Engineering 27 11%
Pharmacology, Toxicology and Pharmaceutical Science 10 4%
Other 33 14%
Unknown 68 28%
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 13 December 2012.
All research outputs
#14,740,534
of 22,689,790 outputs
Outputs from Frontiers in Genetics
#4,433
of 11,754 outputs
Outputs of similar age
#159,269
of 244,142 outputs
Outputs of similar age from Frontiers in Genetics
#133
of 255 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,754 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 244,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.