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Calcifying vascular smooth muscle cells and osteoblasts: independent cell types exhibiting extracellular matrix and biomineralization-related mimicries

Overview of attention for article published in BMC Genomics, November 2014
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Mentioned by

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3 X users

Citations

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83 Dimensions

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91 Mendeley
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Title
Calcifying vascular smooth muscle cells and osteoblasts: independent cell types exhibiting extracellular matrix and biomineralization-related mimicries
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-965
Pubmed ID
Authors

Rodrigo DAM Alves, Marco Eijken, Jeroen van de Peppel, Johannes PTM van Leeuwen

Abstract

Ectopic vascular calcifications represent a major clinical problem associated with cardiovascular disease and mortality. However, the mechanisms underlying pathological vascular calcifications are largely unknown hampering the development of therapies to tackle this life threatening medical condition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 11 12%
Student > Master 8 9%
Student > Bachelor 7 8%
Student > Doctoral Student 4 4%
Other 11 12%
Unknown 26 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 24%
Agricultural and Biological Sciences 14 15%
Medicine and Dentistry 11 12%
Engineering 3 3%
Immunology and Microbiology 2 2%
Other 10 11%
Unknown 29 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 November 2014.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Genomics
#6,842
of 10,793 outputs
Outputs of similar age
#156,470
of 265,394 outputs
Outputs of similar age from BMC Genomics
#173
of 276 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 265,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.