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Stem Cell-Derived Models in Toxicology

Overview of attention for book
Cover of 'Stem Cell-Derived Models in Toxicology'

Table of Contents

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    Book Overview
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    Chapter 1 Stem Cell-Derived Models for Safety and Toxicity Assessments: Present and Future Studies in the “Proclinical Space”
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    Chapter 2 Human Pluripotent Stem Cell Test for Assessing the Potential Teratogen Risk
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    Chapter 3 Cardiac Action Potential Measurement in Human Embryonic Stem Cell Cardiomyocytes for Cardiac Safety Studies Using Manual Patch-Clamp Electrophysiology
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    Chapter 4 Automated Patch Clamp Recordings of Human Stem Cell-Derived Cardiomyocytes
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    Chapter 5 The CiPA Microelectrode Array Assay with hSC-Derived Cardiomyocytes: Current Protocol, Future Potential
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    Chapter 6 Optogenetic Approach to Cardiotoxicity Screening: Simultaneous Voltage and Calcium Imaging Under Paced Conditions
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    Chapter 7 HTS-Compatible Voltage- and Ca 2+ -Sensitive Dye Recordings from hiPSC-Derived Cardiomyocytes Using the Hamamatsu FDSS Systems
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    Chapter 8 Kinetic Image Cytometry for Predicting Arrhythmias Using Human Stem Cell-Derived Cardiomyocytes
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    Chapter 9 Decoding Ca 2+ Signals as a Non-electrophysiological Method for Assessing Drug Toxicity in Stem Cell-Derived Cardiomyocytes
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    Chapter 10 Combined Impedance and Extracellular Field Potential Recordings from Human Stem Cell-Derived Cardiomyocytes
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    Chapter 11 Edge-Detection for Contractility Measurements with Cardiac Spheroids
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    Chapter 12 Contractile Force Readout of hESC-Cardiomyocytes
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    Chapter 13 In Vitro Cardiotoxicity Investigation Using High Content Analysis and Human Stem Cell-Derived Models
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    Chapter 14 Structural Toxicity: Hypertrophy Models of Human Pluripotent Stem Cell-Derived Cardiomyocytes
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    Chapter 15 Addressing Functional Neurotoxicity Using the Microelectrode Array (MEA)
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    Chapter 16 Micropatterned Co-Cultures of Induced Pluripotent Stem Cell-Derived Hepatocytes and Stromal Cells for Drug Toxicity Studies
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Readers on

mendeley
6 Mendeley
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Title
Stem Cell-Derived Models in Toxicology
Published by
Methods in Pharmacology and Toxicology, January 2017
DOI 10.1007/978-1-4939-6661-5
ISBNs
978-1-4939-6659-2, 978-1-4939-6661-5
Editors

Mike Clements, Liz Roquemore

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Researcher 2 33%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Agricultural and Biological Sciences 1 17%
Neuroscience 1 17%
Engineering 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 October 2019.
All research outputs
#6,769,885
of 25,992,468 outputs
Outputs from Methods in Pharmacology and Toxicology
#1
of 1 outputs
Outputs of similar age
#112,189
of 425,695 outputs
Outputs of similar age from Methods in Pharmacology and Toxicology
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 0 of them.
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 425,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1 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