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Early differentiation patterning of mouse embryonic stem cells in response to variations in alginate substrate stiffness

Overview of attention for article published in Journal of Biological Engineering, April 2013
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Title
Early differentiation patterning of mouse embryonic stem cells in response to variations in alginate substrate stiffness
Published in
Journal of Biological Engineering, April 2013
DOI 10.1186/1754-1611-7-9
Pubmed ID
Authors

Joseph Candiello, Satish S Singh, Keith Task, Prashant N Kumta, Ipsita Banerjee

Abstract

Embryonic stem cells (ESCs) have been implicated to have tremendous impact in regenerative therapeutics of various diseases, including Type 1 Diabetes. Upon generation of functionally mature ESC derived islet-like cells, they need to be implanted into diabetic patients to restore the loss of islet activity. Encapsulation in alginate microcapsules is a promising route of implantation, which can protect the cells from the recipient's immune system. While there has been a significant investigation into islet encapsulation over the past decade, the feasibility of encapsulation and differentiation of ESCs has been less explored. Research over the past few years has identified the cellular mechanical microenvironment to play a central role in phenotype commitment of stem cells. Therefore it will be important to design the encapsulation material to be supportive to cellular functionality and maturation.

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Germany 1 1%
Unknown 70 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 13 18%
Student > Bachelor 13 18%
Student > Master 5 7%
Student > Doctoral Student 2 3%
Other 6 8%
Unknown 17 23%
Readers by discipline Count As %
Engineering 18 25%
Agricultural and Biological Sciences 12 16%
Biochemistry, Genetics and Molecular Biology 9 12%
Medicine and Dentistry 4 5%
Chemistry 4 5%
Other 8 11%
Unknown 18 25%
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 11 April 2013.
All research outputs
#17,684,990
of 22,705,019 outputs
Outputs from Journal of Biological Engineering
#200
of 258 outputs
Outputs of similar age
#144,537
of 199,331 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 3 outputs
Altmetric has tracked 22,705,019 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 199,331 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 3 others from the same source and published within six weeks on either side of this one.