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Generation of 3D Skin Equivalents Fully Reconstituted from Human Induced Pluripotent Stem Cells (iPSCs)

Overview of attention for article published in PLOS ONE, October 2013
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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2 news outlets
blogs
1 blog
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10 X users
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18 patents
googleplus
1 Google+ user
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1 research highlight platform

Citations

dimensions_citation
185 Dimensions

Readers on

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316 Mendeley
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Title
Generation of 3D Skin Equivalents Fully Reconstituted from Human Induced Pluripotent Stem Cells (iPSCs)
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077673
Pubmed ID
Authors

Munenari Itoh, Noriko Umegaki-Arao, Zongyou Guo, Liang Liu, Claire A. Higgins, Angela M. Christiano

Abstract

Recent generation of patient-specific induced pluripotent stem cells (PS-iPSCs) provides significant advantages for cell- and gene-based therapy. Establishment of iPSC-based therapy for skin diseases requires efficient methodology for differentiating iPSCs into both keratinocytes and fibroblasts, the major cellular components of the skin, as well as the reconstruction of skin structures using these iPSC-derived skin components. We previously reported generation of keratinocytes from human iPSCs for use in the treatment of recessive dystrophic epidermolysis bullosa (RDEB) caused by mutations in the COL7A1 gene. Here, we developed a protocol for differentiating iPSCs into dermal fibroblasts, which also produce type VII collagen and therefore also have the potential to treat RDEB. Moreover, we generated in vitro 3D skin equivalents composed exclusively human iPSC-derived keratinocytes and fibroblasts for disease models and regenerative therapies for skin diseases, first demonstrating that iPSCs can provide the basis for modeling a human organ derived entirely from two different types of iPSC-derived cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
Canada 1 <1%
Unknown 313 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 19%
Researcher 55 17%
Student > Master 44 14%
Student > Bachelor 37 12%
Other 16 5%
Other 36 11%
Unknown 67 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 23%
Biochemistry, Genetics and Molecular Biology 70 22%
Medicine and Dentistry 30 9%
Engineering 21 7%
Pharmacology, Toxicology and Pharmaceutical Science 13 4%
Other 33 10%
Unknown 77 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 07 May 2024.
All research outputs
#882,574
of 23,445,423 outputs
Outputs from PLOS ONE
#11,942
of 200,654 outputs
Outputs of similar age
#8,409
of 211,997 outputs
Outputs of similar age from PLOS ONE
#354
of 5,142 outputs
Altmetric has tracked 23,445,423 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 200,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 94% 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 211,997 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 96% of its contemporaries.
We're also able to compare this research output to 5,142 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 93% of its contemporaries.