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Cell Phenotype Transitions in Cardiovascular Calcification

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Cell Phenotype Transitions in Cardiovascular Calcification
Published in
Frontiers in Cardiovascular Medicine, March 2018
DOI 10.3389/fcvm.2018.00027
Pubmed ID
Authors

Luis Hortells, Swastika Sur, Cynthia St. Hilaire

Abstract

Cardiovascular calcification was originally considered a passive, degenerative process, however with the advance of cellular and molecular biology techniques it is now appreciated that ectopic calcification is an active biological process. Vascular calcification is the most common form of ectopic calcification, and aging as well as specific disease states such as atherosclerosis, diabetes, and genetic mutations, exhibit this pathology. In the vessels and valves, endothelial cells, smooth muscle cells, and fibroblast-like cells contribute to the formation of extracellular calcified nodules. Research suggests that these vascular cells undergo a phenotypic switch whereby they acquire osteoblast-like characteristics, however the mechanisms driving the early aspects of these cell transitions are not fully understood. Osteoblasts are true bone-forming cells and differentiate from their pluripotent precursor, the mesenchymal stem cell (MSC); vascular cells that acquire the ability to calcify share aspects of the transcriptional programs exhibited by MSCs differentiating into osteoblasts. What is unknown is whether a fully-differentiated vascular cell directly acquires the ability to calcify by the upregulation of osteogenic genes or, whether these vascular cells first de-differentiate into an MSC-like state before obtaining a "second hit" that induces them to re-differentiate down an osteogenic lineage. Addressing these questions will enable progress in preventative and regenerative medicine strategies to combat vascular calcification pathologies. In this review, we will summarize what is known about the phenotypic switching of vascular endothelial, smooth muscle, and valvular cells.

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

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Student > Ph. D. Student 9 14%
Student > Bachelor 8 12%
Researcher 6 9%
Lecturer 5 8%
Other 9 14%
Unknown 19 29%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 7 11%
Engineering 4 6%
Immunology and Microbiology 2 3%
Other 6 9%
Unknown 19 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 April 2018.
All research outputs
#7,548,107
of 23,028,364 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,258
of 6,934 outputs
Outputs of similar age
#132,218
of 330,380 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#7
of 31 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,934 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 81% 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 330,380 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.