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The march of pluripotent stem cells in cardiovascular regenerative medicine

Overview of attention for article published in Stem Cell Research & Therapy, July 2018
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
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5 X users
video
1 YouTube creator

Citations

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35 Dimensions

Readers on

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157 Mendeley
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Title
The march of pluripotent stem cells in cardiovascular regenerative medicine
Published in
Stem Cell Research & Therapy, July 2018
DOI 10.1186/s13287-018-0947-5
Pubmed ID
Authors

Haissam Abou-Saleh, Fouad A. Zouein, Ahmed El-Yazbi, Despina Sanoudou, Christophe Raynaud, Christopher Rao, Gianfranco Pintus, Hassan Dehaini, Ali H. Eid

Abstract

Cardiovascular disease (CVD) continues to be the leading cause of global morbidity and mortality. Heart failure remains a major contributor to this mortality. Despite major therapeutic advances over the past decades, a better understanding of molecular and cellular mechanisms of CVD as well as improved therapeutic strategies for the management or treatment of heart failure are increasingly needed. Loss of myocardium is a major driver of heart failure. An attractive approach that appears to provide promising results in reducing cardiac degeneration is stem cell therapy (SCT). In this review, we describe different types of stem cells, including embryonic and adult stem cells, and we provide a detailed discussion of the properties of induced pluripotent stem cells (iPSCs). We also present and critically discuss the key methods used for converting somatic cells to pluripotent cells and iPSCs to cardiomyocytes (CMs), along with their advantages and limitations. Integrating and non-integrating reprogramming methods as well as characterization of iPSCs and iPSC-derived CMs are discussed. Furthermore, we critically present various methods of differentiating iPSCs to CMs. The value of iPSC-CMs in regenerative medicine as well as myocardial disease modeling and cardiac regeneration are emphasized.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 17%
Student > Ph. D. Student 23 15%
Student > Master 23 15%
Researcher 10 6%
Student > Doctoral Student 6 4%
Other 17 11%
Unknown 51 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 26%
Medicine and Dentistry 19 12%
Engineering 10 6%
Agricultural and Biological Sciences 10 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 12 8%
Unknown 59 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 December 2019.
All research outputs
#3,116,144
of 23,098,660 outputs
Outputs from Stem Cell Research & Therapy
#257
of 2,438 outputs
Outputs of similar age
#64,427
of 330,335 outputs
Outputs of similar age from Stem Cell Research & Therapy
#10
of 61 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,438 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 330,335 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 80% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.