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Human cerebral cortex development from pluripotent stem cells to functional excitatory synapses

Overview of attention for article published in Nature Neuroscience, February 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
3 blogs
twitter
16 X users
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20 patents
facebook
4 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
723 Dimensions

Readers on

mendeley
1310 Mendeley
citeulike
4 CiteULike
Title
Human cerebral cortex development from pluripotent stem cells to functional excitatory synapses
Published in
Nature Neuroscience, February 2012
DOI 10.1038/nn.3041
Pubmed ID
Authors

Yichen Shi, Peter Kirwan, James Smith, Hugh P C Robinson, Frederick J Livesey

Abstract

Efforts to study the development and function of the human cerebral cortex in health and disease have been limited by the availability of model systems. Extrapolating from our understanding of rodent cortical development, we have developed a robust, multistep process for human cortical development from pluripotent stem cells: directed differentiation of human embryonic stem (ES) and induced pluripotent stem (iPS) cells to cortical stem and progenitor cells, followed by an extended period of cortical neurogenesis, neuronal terminal differentiation to acquire mature electrophysiological properties, and functional excitatory synaptic network formation. We found that induction of cortical neuroepithelial stem cells from human ES cells and human iPS cells was dependent on retinoid signaling. Furthermore, human ES cell and iPS cell differentiation to cerebral cortex recapitulated in vivo development to generate all classes of cortical projection neurons in a fixed temporal order. This system enables functional studies of human cerebral cortex development and the generation of individual-specific cortical networks ex vivo for disease modeling and therapeutic purposes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 1,310 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 16 1%
United States 11 <1%
Germany 5 <1%
Netherlands 3 <1%
Portugal 3 <1%
Spain 3 <1%
China 3 <1%
Japan 2 <1%
Australia 2 <1%
Other 14 1%
Unknown 1248 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 310 24%
Researcher 260 20%
Student > Master 175 13%
Student > Bachelor 128 10%
Student > Doctoral Student 60 5%
Other 176 13%
Unknown 201 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 431 33%
Neuroscience 246 19%
Biochemistry, Genetics and Molecular Biology 219 17%
Medicine and Dentistry 80 6%
Engineering 38 3%
Other 74 6%
Unknown 222 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 30 January 2024.
All research outputs
#925,837
of 25,837,817 outputs
Outputs from Nature Neuroscience
#1,552
of 5,675 outputs
Outputs of similar age
#5,593
of 256,930 outputs
Outputs of similar age from Nature Neuroscience
#5
of 66 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.9. This one has gotten more attention than average, scoring higher than 72% 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 256,930 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 97% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.