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Effect of substrate stiffness on early human embryonic stem cell differentiation

Overview of attention for article published in Journal of Biological Engineering, March 2013
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Title
Effect of substrate stiffness on early human embryonic stem cell differentiation
Published in
Journal of Biological Engineering, March 2013
DOI 10.1186/1754-1611-7-7
Pubmed ID
Authors

Nikolai Eroshenko, Rukmani Ramachandran, Vamsi K Yadavalli, Raj R Rao

Abstract

The pluripotency and self renewing properties of human embryonic stem cells (hESC) make them a valuable tool in the fields of developmental biology, pharmacology and regenerative medicine. Therefore, there exists immense interest in devising strategies for hESC propagation and differentiation. Methods involving simulation of the native stem cell microenvironment, both chemical and physical, have received a lot of attention in recent years. Equally important is evidence that cells can also sense the mechanical properties of their microenvironment. In this study, we test the hypothesis that hESCs accept mechanical cues for differentiation from the substrate by culturing them on flexible polydimethylsiloxane (PDMS) of varying stiffness.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Switzerland 1 <1%
Italy 1 <1%
France 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 167 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 32%
Researcher 22 13%
Student > Bachelor 21 12%
Student > Master 16 9%
Student > Doctoral Student 12 7%
Other 18 10%
Unknown 30 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 23%
Engineering 35 20%
Biochemistry, Genetics and Molecular Biology 22 13%
Medicine and Dentistry 9 5%
Physics and Astronomy 8 5%
Other 28 16%
Unknown 32 18%
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 24 March 2013.
All research outputs
#17,682,134
of 22,701,287 outputs
Outputs from Journal of Biological Engineering
#200
of 258 outputs
Outputs of similar age
#143,462
of 197,559 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 2 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 18th percentile – i.e., 18% 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 197,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them