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Transcriptional and Functional Profiling of Human Embryonic Stem Cell-Derived Cardiomyocytes

Overview of attention for article published in PLOS ONE, October 2008
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
patent
5 patents

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
217 Mendeley
connotea
1 Connotea
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Title
Transcriptional and Functional Profiling of Human Embryonic Stem Cell-Derived Cardiomyocytes
Published in
PLOS ONE, October 2008
DOI 10.1371/journal.pone.0003474
Pubmed ID
Authors

Feng Cao, Roger A. Wagner, Kitchener D. Wilson, Xiaoyan Xie, Ji-Dong Fu, Micha Drukker, Andrew Lee, Ronald A. Li, Sanjiv S. Gambhir, Irving L. Weissman, Robert C. Robbins, Joseph C. Wu

Abstract

Human embryonic stem cells (hESCs) can serve as a potentially limitless source of cells that may enable regeneration of diseased tissue and organs. Here we investigate the use of human embryonic stem cell-derived cardiomyocytes (hESC-CMs) in promoting recovery from cardiac ischemia reperfusion injury in a mouse model. Using microarrays, we have described the hESC-CM transcriptome within the spectrum of changes that occur between undifferentiated hESCs and fetal heart cells. The hESC-CMs expressed cardiomyocyte genes at levels similar to those found in 20-week fetal heart cells, making this population a good source of potential replacement cells in vivo. Echocardiographic studies showed significant improvement in heart function by 8 weeks after transplantation. Finally, we demonstrate long-term engraftment of hESC-CMs by using molecular imaging to track cellular localization, survival, and proliferation in vivo. Taken together, global gene expression profiling of hESC differentiation enables a systems-based analysis of the biological processes, networks, and genes that drive hESC fate decisions, and studies such as this will serve as the foundation for future clinical applications of stem cell therapies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Germany 2 <1%
Portugal 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
France 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 201 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 29%
Researcher 48 22%
Student > Master 21 10%
Professor > Associate Professor 18 8%
Student > Bachelor 13 6%
Other 37 17%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 47%
Biochemistry, Genetics and Molecular Biology 36 17%
Medicine and Dentistry 19 9%
Engineering 19 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 16 7%
Unknown 21 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 24 May 2022.
All research outputs
#3,577,470
of 22,705,019 outputs
Outputs from PLOS ONE
#44,304
of 193,828 outputs
Outputs of similar age
#13,453
of 91,057 outputs
Outputs of similar age from PLOS ONE
#107
of 380 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 77% 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 91,057 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.