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Long-term self-renewing human epicardial cells generated from pluripotent stem cells under defined xeno-free conditions

Overview of attention for article published in Nature Biomedical Engineering, December 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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19 news outlets
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3 blogs
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28 X users
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3 patents
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2 Facebook pages
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4 Google+ users
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1 Redditor

Citations

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90 Dimensions

Readers on

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146 Mendeley
Title
Long-term self-renewing human epicardial cells generated from pluripotent stem cells under defined xeno-free conditions
Published in
Nature Biomedical Engineering, December 2016
DOI 10.1038/s41551-016-0003
Pubmed ID
Authors

Xiaoping Bao, Xiaojun Lian, Timothy A. Hacker, Eric G. Schmuck, Tongcheng Qian, Vijesh J. Bhute, Tianxiao Han, Mengxuan Shi, Lauren Drowley, Alleyn T. Plowright, Qing-Dong Wang, Marie-Jose Goumans, Sean P. Palecek

Abstract

The epicardium contributes both multi-lineage descendants and paracrine factors to the heart during cardiogenesis and cardiac repair, underscoring its potential for cardiac regenerative medicine. Yet little is known about the cellular and molecular mechanisms that regulate human epicardial development and regeneration. Here, we show that the temporal modulation of canonical Wnt signaling is sufficient for epicardial induction from 6 different human pluripotent stem cell (hPSC) lines, including a WT1-2A-eGFP knock-in reporter line, under chemically-defined, xeno-free conditions. We also show that treatment with transforming growth factor beta (TGF-β)-signalling inhibitors permitted long-term expansion of the hPSC-derived epicardial cells, resulting in a more than 25 population doublings of WT1+ cells in homogenous monolayers. The hPSC-derived epicardial cells were similar to primary epicardial cells both in vitro and in vivo, as determined by morphological and functional assays, including RNA-seq. Our findings have implications for the understanding of self-renewal mechanisms of the epicardium and for epicardial regeneration using cellular or small-molecule therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Researcher 22 15%
Student > Master 15 10%
Student > Bachelor 14 10%
Professor > Associate Professor 7 5%
Other 23 16%
Unknown 27 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 21%
Agricultural and Biological Sciences 24 16%
Engineering 23 16%
Medicine and Dentistry 14 10%
Chemical Engineering 5 3%
Other 17 12%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 170. 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 23 December 2022.
All research outputs
#233,713
of 25,048,615 outputs
Outputs from Nature Biomedical Engineering
#137
of 1,116 outputs
Outputs of similar age
#4,902
of 427,580 outputs
Outputs of similar age from Nature Biomedical Engineering
#3
of 23 outputs
Altmetric has tracked 25,048,615 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.4. This one has done well, scoring higher than 87% 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 427,580 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 98% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.