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Human Neural Stem Cells

Overview of attention for book
Cover of 'Human Neural Stem Cells'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Derivation of Neural Stem Cells from the Developing and Adult Human Brain
  3. Altmetric Badge
    Chapter 2 Human Somatic Stem Cell Neural Differentiation Potential
  4. Altmetric Badge
    Chapter 3 Neural Stem Cells Derived from Human-Induced Pluripotent Stem Cells and Their Use in Models of CNS Injury
  5. Altmetric Badge
    Chapter 4 Generation of Human Neural Stem Cells by Direct Phenotypic Conversion
  6. Altmetric Badge
    Chapter 5 Epigenetic Regulation of Human Neural Stem Cell Differentiation
  7. Altmetric Badge
    Chapter 6 Induced Pluripotent Stem Cells Reveal Common Neurodevelopmental Genome Deprograming in Schizophrenia
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    Chapter 7 Genome Editing in Human Neural Stem and Progenitor Cells
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    Chapter 8 Brain Organoids: Expanding Our Understanding of Human Development and Disease
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    Chapter 9 Bioengineering of the Human Neural Stem Cell Niche: A Regulatory Environment for Cell Fate and Potential Target for Neurotoxicity
  11. Altmetric Badge
    Chapter 10 Updates on Human Neural Stem Cells: From Generation, Maintenance, and Differentiation to Applications in Spinal Cord Injury Research
  12. Altmetric Badge
    Chapter 11 Human Neural Stem Cells for Ischemic Stroke Treatment
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    Chapter 12 Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder
  14. Altmetric Badge
    Chapter 13 Neural Stem Cell Dysfunction in Human Brain Disorders
  15. Altmetric Badge
    Chapter 14 Human Fetal Neural Stem Cells for Neurodegenerative Disease Treatment
Attention for Chapter 7: Genome Editing in Human Neural Stem and Progenitor Cells
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Chapter title
Genome Editing in Human Neural Stem and Progenitor Cells
Chapter number 7
Book title
Human Neural Stem Cells
Published in
Results and problems in cell differentiation, January 2018
DOI 10.1007/978-3-319-93485-3_7
Pubmed ID
30209659
Book ISBNs
978-3-31-993484-6, 978-3-31-993485-3
Authors

Raul Bardini Bressan, Steven M. Pollard, Bressan, Raul Bardini, Pollard, Steven M.

Abstract

Experimental tools for precise manipulation of mammalian genomes enable reverse genetic approaches to explore biology and disease. Powerful genome editing technologies built upon designer nucleases, such as CRISPR/Cas9, have recently emerged. Parallel progress has been made in methodologies for the expansion and differentiation of human pluripotent and tissue stem cells. Together these innovations provide a remarkable new toolbox for human cellular genetics and are opening up vast opportunities for discoveries and applications across the breadth of life sciences research. In this chapter, we review the emergence of genome editing technologies and how these are being deployed in studies of human neurobiology, neurological disease, and neuro-oncology. We focus our discussion on CRISPR/Cas9 and its application in studies of human neural stem and progenitor cells.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Researcher 4 17%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 1 4%
Other 1 4%
Unknown 8 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 42%
Agricultural and Biological Sciences 2 8%
Engineering 2 8%
Psychology 1 4%
Philosophy 1 4%
Other 0 0%
Unknown 8 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2018.
All research outputs
#15,018,906
of 23,103,436 outputs
Outputs from Results and problems in cell differentiation
#86
of 217 outputs
Outputs of similar age
#256,142
of 442,715 outputs
Outputs of similar age from Results and problems in cell differentiation
#3
of 10 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 56% 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 442,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.

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