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Neuroepigenomics in Aging and Disease

Overview of attention for book
Cover of 'Neuroepigenomics in Aging and Disease'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MeCP2, A Modulator of Neuronal Chromatin Organization Involved in Rett Syndrome
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    Chapter 2 The Role of Noncoding RNAs in Neurodevelopmental Disorders: The Case of Rett Syndrome
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    Chapter 3 Rubinstein-Taybi Syndrome and Epigenetic Alterations
  5. Altmetric Badge
    Chapter 4 Epigenetics of Autism Spectrum Disorder
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    Chapter 5 Eating Disorders and Epigenetics
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    Chapter 6 Drug Addiction and DNA Modifications
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    Chapter 7 Drug Addiction and Histone Code Alterations
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    Chapter 8 Anxiety and Epigenetics
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    Chapter 9 Histone Modifications in Major Depressive Disorder and Related Rodent Models
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    Chapter 10 DNA Methylation in Major Depressive Disorder
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    Chapter 11 Noncoding RNAs in Depression
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    Chapter 12 DNA Methylation in Schizophrenia
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    Chapter 13 Histone Posttranslational Modifications in Schizophrenia
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    Chapter 14 Epigenetic Mechanisms of Gene Regulation in Amyotrophic Lateral Sclerosis
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    Chapter 15 Epigenetics of Huntington’s Disease
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    Chapter 16 DNA Modifications and Alzheimer’s Disease
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    Chapter 17 Alzheimer’s Disease and Histone Code Alterations
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    Chapter 18 Alzheimer’s Disease and ncRNAs
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    Chapter 19 Epigenetics in Parkinson’s Disease
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    Chapter 20 Single-Cell Genomics Unravels Brain Cell-Type Complexity
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    Chapter 21 Epigenome Editing in the Brain
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    Chapter 22 Techniques for Single-Molecule mRNA Imaging in Living Cells
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    Chapter 23 Stem Cell Technology for (Epi)genetic Brain Disorders
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    Chapter 24 Technologies for Deciphering Epigenomic DNA Patterns
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    Chapter 25 Bioinformatics Tools for Genome-Wide Epigenetic Research
Attention for Chapter 20: Single-Cell Genomics Unravels Brain Cell-Type Complexity
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Chapter title
Single-Cell Genomics Unravels Brain Cell-Type Complexity
Chapter number 20
Book title
Neuroepigenomics in Aging and Disease
Published in
Advances in experimental medicine and biology, May 2017
DOI 10.1007/978-3-319-53889-1_20
Pubmed ID
Book ISBNs
978-3-31-953888-4, 978-3-31-953889-1
Authors

Guillaumet-Adkins, Amy, Heyn, Holger, Amy Guillaumet-Adkins Ph.D., Holger Heyn Ph.D., Amy Guillaumet-Adkins, Holger Heyn

Editors

Raul Delgado-Morales

Abstract

The brain is the most complex tissue in terms of cell types that it comprises, to the extent that it is still poorly understood. Single cell genome and transcriptome profiling allow to disentangle the neuronal heterogeneity, enabling the categorization of individual neurons into groups with similar molecular signatures. Herein, we unravel the current state of knowledge in single cell neurogenomics. We describe the molecular understanding of the cellular architecture of the mammalian nervous system in health and in disease; from the discovery of unrecognized cell types to the validation of known ones, applying these state-of-the-art technologies.

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Librarian 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Computer Science 2 25%
Neuroscience 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 July 2017.
All research outputs
#7,939,327
of 25,382,250 outputs
Outputs from Advances in experimental medicine and biology
#1,238
of 5,283 outputs
Outputs of similar age
#114,215
of 318,402 outputs
Outputs of similar age from Advances in experimental medicine and biology
#32
of 108 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 75% 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 318,402 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 63% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.