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Biophysical Characteristics Reveal Neural Stem Cell Differentiation Potential

Overview of attention for article published in PLOS ONE, September 2011
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
patent
3 patents

Readers on

mendeley
81 Mendeley
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Article details
Title
Biophysical Characteristics Reveal Neural Stem Cell Differentiation Potential
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025458
Pubmed ID
Authors
Abstract

Distinguishing human neural stem/progenitor cell (huNSPC) populations that will predominantly generate neurons from those that produce glia is currently hampered by a lack of sufficient cell type-specific surface markers predictive of fate potential. This limits investigation of lineage-biased progenitors and their potential use as therapeutic agents. A live-cell biophysical and label-free measure of fate potential would solve this problem by obviating the need for specific cell surface markers.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 81 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 %
Portugal 1 1%
Peru 1 1%
United Kingdom 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Student > Master 11 14%
Professor > Associate Professor 9 11%
Researcher 8 10%
Student > Bachelor 7 9%
Other 10 12%
Unknown 12 15%
Readers by discipline
Readers by discipline Count As %
Engineering 23 28%
Agricultural and Biological Sciences 19 23%
Biochemistry, Genetics and Molecular Biology 5 6%
Physics and Astronomy 5 6%
Medicine and Dentistry 4 5%
Other 9 11%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 June 2025.
All research outputs
#2,945,010
of 34,358,242 outputs
Outputs from PLOS ONE
#31,641
of 224,513 outputs
Outputs of similar age
#13,718
of 181,142 outputs
Outputs of similar age from PLOS ONE
#342
of 2,891 outputs
Altmetric has tracked 34,358,242 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done well, scoring higher than 85% 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 181,142 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 92% of its contemporaries.
We're also able to compare this research output to 2,891 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.