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Generation of anterior foregut endoderm from human embryonic and induced pluripotent stem cells

Overview of attention for article published in Nature Biotechnology, February 2011
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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 (90th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
1 X user
patent
36 patents

Citations

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333 Dimensions

Readers on

mendeley
348 Mendeley
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Title
Generation of anterior foregut endoderm from human embryonic and induced pluripotent stem cells
Published in
Nature Biotechnology, February 2011
DOI 10.1038/nbt.1788
Pubmed ID
Authors

Michael D Green, Antonia Chen, Maria-Cristina Nostro, Sunita L d'Souza, Christoph Schaniel, Ihor R Lemischka, Valerie Gouon-Evans, Gordon Keller, Hans-Willem Snoeck

Abstract

Directed differentiation of human embryonic stem (hES) cells and human induced pluripotent stem (hiPS) cells captures in vivo developmental pathways for specifying lineages in vitro, thus avoiding perturbation of the genome with exogenous genetic material. Thus far, derivation of endodermal lineages has focused predominantly on hepatocytes, pancreatic endocrine cells and intestinal cells. The ability to differentiate pluripotent cells into anterior foregut endoderm (AFE) derivatives would expand their utility for cell therapy and basic research to tissues important for immune function, such as the thymus; for metabolism, such as thyroid and parathyroid; and for respiratory function, such as trachea and lung. We find that dual inhibition of transforming growth factor (TGF)-β and bone morphogenic protein (BMP) signaling after specification of definitive endoderm from pluripotent cells results in a highly enriched AFE population that is competent to be patterned along dorsoventral and anteroposterior axes. These findings provide an approach for the generation of AFE derivatives.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Brazil 3 <1%
Netherlands 1 <1%
Italy 1 <1%
Germany 1 <1%
Portugal 1 <1%
Australia 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 333 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 89 26%
Student > Ph. D. Student 82 24%
Student > Master 33 9%
Student > Bachelor 33 9%
Professor > Associate Professor 17 5%
Other 45 13%
Unknown 49 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 36%
Biochemistry, Genetics and Molecular Biology 71 20%
Medicine and Dentistry 46 13%
Engineering 16 5%
Immunology and Microbiology 9 3%
Other 23 7%
Unknown 58 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 13 February 2024.
All research outputs
#732,178
of 23,804,991 outputs
Outputs from Nature Biotechnology
#1,469
of 8,434 outputs
Outputs of similar age
#2,474
of 110,508 outputs
Outputs of similar age from Nature Biotechnology
#6
of 53 outputs
Altmetric has tracked 23,804,991 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 8,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.2. 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 110,508 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 53 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 90% of its contemporaries.