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A Review of Human Pluripotent Stem Cell-Derived Cardiomyocytes for High-Throughput Drug Discovery, Cardiotoxicity Screening, and Publication Standards

Overview of attention for article published in Journal of Cardiovascular Translational Research, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 582)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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4 X users
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13 patents

Citations

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110 Dimensions

Readers on

mendeley
185 Mendeley
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Title
A Review of Human Pluripotent Stem Cell-Derived Cardiomyocytes for High-Throughput Drug Discovery, Cardiotoxicity Screening, and Publication Standards
Published in
Journal of Cardiovascular Translational Research, November 2012
DOI 10.1007/s12265-012-9423-2
Pubmed ID
Authors

Nicholas M. Mordwinkin, Paul W. Burridge, Joseph C. Wu

Abstract

Drug attrition rates have increased in past years, resulting in growing costs for the pharmaceutical industry and consumers. The reasons for this include the lack of in vitro models that correlate with clinical results and poor preclinical toxicity screening assays. The in vitro production of human cardiac progenitor cells and cardiomyocytes from human pluripotent stem cells provides an amenable source of cells for applications in drug discovery, disease modeling, regenerative medicine, and cardiotoxicity screening. In addition, the ability to derive human-induced pluripotent stem cells from somatic tissues, combined with current high-throughput screening and pharmacogenomics, may help realize the use of these cells to fulfill the potential of personalized medicine. In this review, we discuss the use of pluripotent stem cell-derived cardiomyocytes for drug discovery and cardiotoxicity screening, as well as current hurdles that must be overcome for wider clinical applications of this promising approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
France 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Australia 1 <1%
Unknown 177 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 21%
Student > Ph. D. Student 38 21%
Student > Master 30 16%
Student > Bachelor 24 13%
Student > Doctoral Student 9 5%
Other 26 14%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 27%
Biochemistry, Genetics and Molecular Biology 43 23%
Medicine and Dentistry 21 11%
Engineering 17 9%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Other 16 9%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 February 2022.
All research outputs
#2,475,353
of 23,122,481 outputs
Outputs from Journal of Cardiovascular Translational Research
#44
of 582 outputs
Outputs of similar age
#17,838
of 179,937 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#1
of 7 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 179,937 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 90% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them