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Short-term mechanical stretch fails to differentiate human adipose-derived stem cells into cardiovascular cell phenotypes

Overview of attention for article published in BioMedical Engineering OnLine, May 2014
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2 X users

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Title
Short-term mechanical stretch fails to differentiate human adipose-derived stem cells into cardiovascular cell phenotypes
Published in
BioMedical Engineering OnLine, May 2014
DOI 10.1186/1475-925x-13-54
Pubmed ID
Authors

Thais Girão-Silva, Vinicius Bassaneze, Luciene Cristina Gastalho Campos, Valerio Garrone Barauna, Luis Alberto Oliveira Dallan, Jose Eduardo Krieger, Ayumi Aurea Miyakawa

Abstract

We and others have previously demonstrated that adipose-derived stem cells (ASCs) transplantation improve cardiac dysfunction post-myocardium infarction (MI) under hemodynamic stress in rats. The beneficial effects appear to be associated with pleiotropic factors due to a complex interplay between the transplanted ASCs and the microenvironment in the absence of cell transdifferentiation. In the present work, we tested the hypothesis that mechanical stretch per se could change human ASCs (hASCs) into cardiovascular cell phenotypes that might influence post-MI outcomes.

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

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Brazil 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Bachelor 10 18%
Student > Master 9 16%
Student > Doctoral Student 6 11%
Researcher 6 11%
Other 11 20%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 25%
Medicine and Dentistry 12 21%
Biochemistry, Genetics and Molecular Biology 8 14%
Engineering 5 9%
Immunology and Microbiology 3 5%
Other 9 16%
Unknown 5 9%
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 04 June 2014.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from BioMedical Engineering OnLine
#424
of 822 outputs
Outputs of similar age
#134,302
of 227,857 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 11 outputs
Altmetric has tracked 22,757,090 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 822 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 35th percentile – i.e., 35% 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 227,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.