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Pluripotent Stem Cells

Overview of attention for book
Cover of 'Pluripotent Stem Cells'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Sources and Derivation of Human Embryonic Stem Cells
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    Chapter 2 A New Chemical Approach to the Efficient Generation of Mouse Embryonic Stem Cells
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    Chapter 3 A Review of the Methods for Human iPSC Derivation
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    Chapter 4 Generation of human-induced pluripotent stem cells by lentiviral transduction.
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    Chapter 5 Generation of Induced Pluripotent Stem Cells with CytoTune, a Non-Integrating Sendai Virus
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    Chapter 6 Generation of Human-Induced Pluripotent Stem Cells (hiPSCs) Using Episomal Vectors on Defined Essential 8™ Medium Conditions
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    Chapter 7 Feeder-Free Substrates for Pluripotent Stem Cell Culture
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    Chapter 8 Methods for Culturing Human Embryonic Stem Cells on Feeders
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    Chapter 9 Methods for culturing human embryonic stem cells in a xeno-free system.
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    Chapter 10 Directed Differentiation of Human Pluripotent Stem Cells Along the Pancreatic Endocrine Lineage
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    Chapter 11 Directed Differentiation of Pluripotent Stem Cells to Functional Hepatocytes
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    Chapter 12 Highly Efficient Directed Differentiation of Human Induced Pluripotent Stem Cells into Cardiomyocytes
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    Chapter 13 Generation of Transgene-Free iPSC Lines from Human Normal and Neoplastic Blood Cells Using Episomal Vectors
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    Chapter 14 Cellular Characterization of Human Pluripotent Stem Cells
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    Chapter 15 TaqMan ® OpenArray ® High-Throughput Transcriptional Analysis of Human Embryonic and Induced Pluripotent Stem Cells
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    Chapter 16 Epigenome analysis of pluripotent stem cells.
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    Chapter 17 Single cell gene expression analysis of pluripotent stem cells.
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    Chapter 18 Profiling Stem Cells Using Quantitative PCR Protein Assays
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    Chapter 19 Labeled Stem Cells as Disease Models and in Drug Discovery
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    Chapter 20 Cloning Technologies
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    Chapter 21 Stable Transfection Using Episomal Vectors to Create Modified Human Embryonic Stem Cells
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    Chapter 22 Site-Specific Integration in Human ESC Using Jump-In™ TI™ Technology.
Attention for Chapter 17: Single cell gene expression analysis of pluripotent stem cells.
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Chapter title
Single cell gene expression analysis of pluripotent stem cells.
Chapter number 17
Book title
Pluripotent Stem Cells
Published in
Methods in molecular biology, April 2013
DOI 10.1007/978-1-62703-348-0_17
Pubmed ID
Book ISBNs
978-1-62703-347-3, 978-1-62703-348-0
Authors

Abruzzese RV, Fekete RA, Ronald V. Abruzzese, Richard A. Fekete, Abruzzese, Ronald V., Fekete, Richard A.

Abstract

Analyzing gene expression profiles from cells en masse provides an average profile for the population which may obscure differences in individual cells. Using an optimized workflow for qRT-PCR, gene expression profiles of undifferentiated pluripotent stem cells reveal distinct gene expression profiles for individual cells, and a large expression level range of almost every gene. Importantly, this technique allows for the identification and characterization of small subpopulations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Master 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Biochemistry, Genetics and Molecular Biology 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Methods in molecular biology
#9,852
of 13,079 outputs
Outputs of similar age
#174,357
of 199,693 outputs
Outputs of similar age from Methods in molecular biology
#31
of 37 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 199,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.