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Neuronal Differentiation of Induced Pluripotent Stem Cells on Surfactant Templated Chitosan Hydrogels

Overview of attention for article published in Biomacromolecules, April 2016
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42 Mendeley
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Article details
Title
Neuronal Differentiation of Induced Pluripotent Stem Cells on Surfactant Templated Chitosan Hydrogels
Published in
Biomacromolecules, April 2016
DOI 10.1021/acs.biomac.6b00098
Pubmed ID
Authors
Abstract

The development of effective tissue engineering materials requires careful consideration of several properties beyond biocompatibility, including permeability and mechanical stiffness. While surfactant templating has been used for over a decade to control the physical properties of photopolymer materials, the potential benefit of this technique with regard to biomaterials has yet to be fully explored. Herein we demonstrate that surfactant templating can be used to tune the water uptake and compressive modulus of photo-crosslinked chitosan hydrogels. Interestingly, templating with quaternary ammonium surfactants also hedges against property fluctuations that occur with changing pH. Further, we demonstrate that after adequate surfactant removal, these materials are non-toxic, support the attachment of induced pluripotent stem cells and facilitate stem cell differentiation to neuronal phenotypes. These results demonstrate the utility of surfactant templating for optimizing the properties of biomaterials intended for a variety of applications, including retinal regeneration.

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

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
France 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 8 19%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 1 2%
Other 2 5%
Unknown 10 24%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 5 12%
Agricultural and Biological Sciences 5 12%
Engineering 5 12%
Biochemistry, Genetics and Molecular Biology 3 7%
Chemistry 3 7%
Other 7 17%
Unknown 14 33%
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 14 September 2017.
All research outputs
#14,843,597
of 22,858,915 outputs
Outputs from Biomacromolecules
#3,441
of 4,405 outputs
Outputs of similar age
#170,598
of 300,359 outputs
Outputs of similar age from Biomacromolecules
#45
of 58 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,405 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 20th percentile – i.e., 20% 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 300,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.