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Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
2 news outlets
twitter
29 X users
patent
2 patents
facebook
1 Facebook page

Readers on

mendeley
636 Mendeley
citeulike
2 CiteULike
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Article details
Title
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2017
DOI 10.1073/pnas.1618239114
Pubmed ID
Authors
Abstract

The spatial presentation of mechanical information is a key parameter for cell behavior. We have developed a method of polymerization control in which the differential diffusion distance of unreacted cross-linker and monomer into a prepolymerized hydrogel sink results in a tunable stiffness gradient at the cell-matrix interface. This simple, low-cost, robust method was used to produce polyacrylamide hydrogels with stiffness gradients of 0.5, 1.7, 2.9, 4.5, 6.8, and 8.2 kPa/mm, spanning the in vivo physiological and pathological mechanical landscape. Importantly, three of these gradients were found to be nondurotactic for human adipose-derived stem cells (hASCs), allowing the presentation of a continuous range of stiffnesses in a single well without the confounding effect of differential cell migration. Using these nondurotactic gradient gels, stiffness-dependent hASC morphology, migration, and differentiation were studied. Finally, the mechanosensitive proteins YAP, Lamin A/C, Lamin B, MRTF-A, and MRTF-B were analyzed on these gradients, providing higher-resolution data on stiffness-dependent expression and localization.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 636 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 %
Sweden 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Unknown 633 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 179 28%
Researcher 66 10%
Student > Master 63 10%
Student > Bachelor 52 8%
Student > Doctoral Student 35 6%
Other 85 13%
Unknown 156 25%
Readers by discipline
Readers by discipline Count As %
Engineering 123 19%
Biochemistry, Genetics and Molecular Biology 98 15%
Agricultural and Biological Sciences 54 8%
Materials Science 52 8%
Chemical Engineering 23 4%
Other 89 14%
Unknown 197 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 18 August 2026.
All research outputs
#1,329,524
of 34,526,284 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#18,484
of 119,110 outputs
Outputs of similar age
#19,732
of 356,494 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#320
of 916 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done well, scoring higher than 84% 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 356,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 916 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.