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Microwell Regulation of Pluripotent Stem Cell Self-Renewal and Differentiation

Overview of attention for article published in BioNanoScience, September 2012
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Mentioned by

1 tweeter
1 Facebook page


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Readers on

25 Mendeley
Microwell Regulation of Pluripotent Stem Cell Self-Renewal and Differentiation
Published in
BioNanoScience, September 2012
DOI 10.1007/s12668-012-0050-9
Pubmed ID

Cheston Hsiao, Sean P. Palecek


The fates of pluripotent stem cells (PSCs), including survival, self-renewal, and differentiation, are regulated by chemical and mechanical cues presented in the three-dimensional (3D) microenvironment. Most PSC studies have been performed on two-dimensional substrates. However, 3D culture systems have demonstrated the importance of intercellular interactions in regulating PSC self-renewal and differentiation. Microwell culture systems have been developed to generate homogenous PSC colonies of defined sizes and shapes and to study how colony morphology affects cell fate. Using microwells, researchers have demonstrated that PSCs remain in a self-renewing undifferentiated state as a result of autocrine and paracrine signaling. Other studies have shown that microwell regulation of embryoid body size affects lineage commitment during differentiation via cell-cell contact and expression of soluble signals. In this review, we discuss recent advances in the design and utilization of 3D microwell platforms for studying intercellular regulation of PSC cell fate decisions and the underlying molecular mechanisms.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Italy 1 4%
United States 1 4%
Singapore 1 4%
Greece 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Researcher 8 32%
Student > Master 3 12%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 60%
Engineering 6 24%
Computer Science 1 4%
Medicine and Dentistry 1 4%
Materials Science 1 4%
Other 1 4%

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 14 March 2013.
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Altmetric has tracked 13,036,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 92 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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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.