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Induced Pluripotent Stem Cells and Human Disease

Overview of attention for book
Cover of 'Induced Pluripotent Stem Cells and Human Disease'

Table of Contents

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    Book Overview
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    Chapter 371 Cancer Stem Cell Initiation by Tumor-Derived Extracellular Vesicles
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    Chapter 374 Genome Editing Using Cas9-gRNA Ribonucleoprotein in Human Pluripotent Stem Cells for Disease Modeling
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    Chapter 375 Efficient Generation of Functional Hepatocytes from Human Induced Pluripotent Stem Cells for Disease Modeling and Disease Gene Discovery
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    Chapter 376 Methods to Induce Small-Scale Differentiation of iPS Cells into Dopaminergic Neurons and to Detect Disease Phenotypes
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    Chapter 377 A High-Efficiency Method for the Production of Endothelial Cells from Human Induced Pluripotent Stem Cells
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    Chapter 378 Generation and Encapsulation of Human iPSC-Derived Vascular Smooth Muscle Cells for Proangiogenic Therapy
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    Chapter 379 Monitoring Axonal Degeneration in Human Pluripotent Stem Cell Models of Hereditary Spastic Paraplegias
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    Chapter 383 Differentiating Induced Pluripotent Stem Cells Toward Mesenchymal Stem/Stromal Cells
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    Chapter 384 Creating Cell Model 2.0 Using Patient Samples Carrying a Pathogenic Mitochondrial DNA Mutation: iPSC Approach for LHON.
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    Chapter 385 Derivation of Induced Pluripotent Stem Cell (iPSC) Lines from Patient-Specific Peripheral Blood Mononuclear Cells (PBMC) Using Episomal Vectors
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    Chapter 399 Generation of Cortical, Dopaminergic, Motor, and Sensory Neurons from Human Pluripotent Stem Cells
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    Chapter 407 Amyloid β (Aβ) ELISA of Human iPSC-Derived Neuronal Cultures
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    Chapter 409 Genome Editing of Induced Pluripotent Stem Cells Using CRISPR/Cas9 Ribonucleoprotein Complexes to Model Genetic Ocular Diseases.
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    Chapter 418 A Protocol for Stepwise Differentiation of Induced Pluripotent Stem Cells into Retinal Pigment Epithelium.
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    Chapter 419 Generation of Human Induced Pluripotent Stem Cells from Renal Epithelial Cells
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    Chapter 420 Autophagy Dysfunction as a Phenotypic Readout in hiPSC-Derived Neuronal Cell Models of Neurodegenerative Diseases
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    Chapter 421 Image-Based Quantitation of Kainic Acid-Induced Excitotoxicity as a Model of Neurodegeneration in Human iPSC-Derived Neurons.
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    Chapter 422 CRISPR/Cas-Mediated Knock-in of Genetically Encoded Fluorescent Biosensors into the AAVS1 Locus of Human-Induced Pluripotent Stem Cells.
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    Chapter 427 Generation of Cardiomyocytes and Endothelial Cells from Human iPSCs by Chemical Modulation of Wnt Signaling
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    Chapter 451 Analysis of Mitochondrial Dysfunction by Microplate Reader in hiPSC-Derived Neuronal Cell Models of Neurodegenerative Disorders
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    Chapter 452 Generation and Hematopoietic Differentiation of Mesenchymal Stromal/Stem Cell-Derived Induced Pluripotent Stem Cell Lines for Disease Modeling of Hematopoietic and Immunological Diseases
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    Chapter 454 Modeling Early Neural Crest Development via Induction from hiPSC-Derived Neural Plate Border-like Cells
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    Chapter 456 Immunoassay for Quantitative Detection of Antibody Transcytosis Across the Blood-Brain Barrier In Vitro
Attention for Chapter 451: Analysis of Mitochondrial Dysfunction by Microplate Reader in hiPSC-Derived Neuronal Cell Models of Neurodegenerative Disorders
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Chapter title
Analysis of Mitochondrial Dysfunction by Microplate Reader in hiPSC-Derived Neuronal Cell Models of Neurodegenerative Disorders
Chapter number 451
Book title
Induced Pluripotent Stem Cells and Human Disease
Published in
Methods in molecular biology, March 2022
DOI 10.1007/7651_2021_451
Pubmed ID
Book ISBNs
978-1-07-162584-2, 978-1-07-162585-9
Authors

Tatiana R. Rosenstock, Congxin Sun, Georgina Wynne Hughes, Katherine Winter, Sovan Sarkar, Rosenstock, Tatiana R., Sun, Congxin, Hughes, Georgina Wynne, Winter, Katherine, Sarkar, Sovan

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 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 %
Unspecified 1 17%
Professor 1 17%
Lecturer 1 17%
Unknown 3 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Unspecified 1 17%
Chemical Engineering 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 April 2022.
All research outputs
#13,132,079
of 23,479,361 outputs
Outputs from Methods in molecular biology
#3,285
of 13,156 outputs
Outputs of similar age
#169,497
of 443,249 outputs
Outputs of similar age from Methods in molecular biology
#44
of 288 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 443,249 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 61% of its contemporaries.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.