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Hierarchical Assembly of Bioactive Amphiphilic Molecule Pairs into Supramolecular Nanofibril Self-Supportive Scaffolds for Stem Cell Differentiation

Overview of attention for article published in Journal of the American Chemical Society, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users
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5 patents

Readers on

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52 Mendeley
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Article details
Title
Hierarchical Assembly of Bioactive Amphiphilic Molecule Pairs into Supramolecular Nanofibril Self-Supportive Scaffolds for Stem Cell Differentiation
Published in
Journal of the American Chemical Society, November 2016
DOI 10.1021/jacs.6b09014
Pubmed ID
Authors
Abstract

Molecular design of biomaterials with unique features recapitulating nature's niche to influence biological activities has been a prolific area of investigation in chemistry and material science. The extracellular matrix (ECM) provides a wealth of bioactive molecules in supporting cell proliferation, migration, and differentiation. The well-patterned fibril and intertwining architecture of the ECM profoundly influences cell behavior and development. Inspired by those features from the ECM, we attempted to integrate essential biological factors from the ECM to design bioactive molecules to construct artificial self-supportive ECM mimics to advance stem cell culture. The synthesized biomimic molecules are able to hierarchically self-assemble into nanofibril hydrogels in physiological buffer driven by cooperative effects of electrostatic interaction, van der Waals forces, and intermolecular hydrogen bonds. In addition, the hydrogel is designed to be degradable during cell culture, generating extra space to facilitate cell migration, expansion, and differentiation. We exploited the bioactive hydrogel as a growth-factor-free scaffold to support and accelerate neural stem cell adhesion, proliferation, and differentiation into functional neurons. Our study is a successful attempt to entirely use bioactive molecules for bottom-up self-assembly of new biomaterials mimicking the ECM to directly impact cell behaviors. Our strategy provides a new avenue in biomaterial design to advance tissue engineering and cell delivery.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
China 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 7 13%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Professor 4 8%
Other 11 21%
Unknown 8 15%
Readers by discipline
Readers by discipline Count As %
Chemistry 22 42%
Materials Science 8 15%
Engineering 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 2 4%
Other 6 12%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 September 2026.
All research outputs
#3,876,052
of 28,388,525 outputs
Outputs from Journal of the American Chemical Society
#11,867
of 72,547 outputs
Outputs of similar age
#55,091
of 314,349 outputs
Outputs of similar age from Journal of the American Chemical Society
#114
of 472 outputs
Altmetric has tracked 28,388,525 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 72,547 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 82% of its peers.
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 314,349 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 472 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.