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Neuroepigenomics in Aging and Disease

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

Table of Contents

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    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
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    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 6: Drug Addiction and DNA Modifications
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Chapter title
Drug Addiction and DNA Modifications
Chapter number 6
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_6
Pubmed ID
Book ISBNs
978-3-31-953888-4, 978-3-31-953889-1
Authors

Brown, Amber N., Feng, Jian, Amber N. Brown, Jian Feng

Editors

Raul Delgado-Morales

Abstract

Drug addiction is a complex disorder which can be influenced by both genetic and environmental factors. Research has shown that epigenetic modifications can translate environmental signals into changes in gene expression, suggesting that epigenetic changes may underlie the causes and possibly treatment of substance use disorders. This chapter will focus on epigenetic modifications to DNA, which include DNA methylation and several recently defined additional DNA epigenetic changes. We will discuss the functions of DNA modifications and methods for detecting them, followed by a description of the research investigating the function and consequences of drug-induced changes in DNA methylation patterns. Understanding these epigenetic changes may provide us translational tools for the diagnosis and treatment of addiction in the future.

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 7 13%
Researcher 6 11%
Student > Bachelor 5 9%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Biochemistry, Genetics and Molecular Biology 7 13%
Neuroscience 7 13%
Agricultural and Biological Sciences 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 5 9%
Unknown 22 41%
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 21 June 2019.
All research outputs
#17,709,056
of 22,739,983 outputs
Outputs from Advances in experimental medicine and biology
#3,085
of 4,927 outputs
Outputs of similar age
#222,488
of 312,119 outputs
Outputs of similar age from Advances in experimental medicine and biology
#64
of 106 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,927 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 33rd percentile – i.e., 33% 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 312,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.