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Biomarkers for Psychiatric Disorders

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Cover of 'Biomarkers for Psychiatric Disorders'

Table of Contents

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    Book Overview
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    Chapter 1 Blood and Brain Gene Expression in Major Psychiatric Disorders: A Search for Biomarkers
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    Chapter 2 Biomarkers in Schizophrenia
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    Chapter 3 Proteomic Strategies for Biomarker Discovery: From Differential Expression to Isoforms to Pathways
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    Chapter 4 Biomarkers for Psychiatric Disorders
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    Chapter 5 RNA Biomarkers in Schizophrenia
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    Chapter 6 Biomarkers for Psychiatric Disorders
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    Chapter 7 Animal Models for Schizophrenia: A Brief Overview
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    Chapter 8 Synaptoproteomics of Existing and new Animal Models of Depression
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    Chapter 9 Animal Models for Anxiety Disorders
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    Chapter 10 Animal Models of Affective Behaviors and Drug Addiction
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    Chapter 11 Neuroimaging Biomarkers in Schizophrenia
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    Chapter 12 Sleep EEG Provides Biomarkers in Depression
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    Chapter 13 Strategies to Identify Biomarkers for Depression
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    Chapter 14 Pharmacogenetics of Antidepressant Response
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    Chapter 15 Perspectives for an Integrated Biomarker Approach to Drug Discovery and Development
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    Chapter 16 Hunting for Peripheral Biomarkers to Support Drug Development in Psychiatry
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    Chapter 17 Biomarkers for the Development of Antidepressant and Anxiolytic Drugs
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    Chapter 18 DNA Biomarkers for Pharmacogenomics and Personalized Medicine
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    Chapter 19 Biological Modeling in the Discovery and Validation of Cognitive Dysfunctions Biomarkers
Overall attention for this book and its chapters
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Mentioned by

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2 news outlets
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4 Wikipedia pages
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1 Google+ user

Citations

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14 Dimensions

Readers on

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84 Mendeley
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Title
Biomarkers for Psychiatric Disorders
Published by
Springer US, January 2009
DOI 10.1007/978-0-387-79251-4
ISBNs
978-0-387-79250-7, 978-0-387-79251-4
Editors

Turck, Chris, Turck, Chris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Canada 2 2%
United States 2 2%
United Kingdom 1 1%
New Zealand 1 1%
Switzerland 1 1%
Unknown 75 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 30%
Student > Ph. D. Student 17 20%
Student > Bachelor 10 12%
Student > Master 8 10%
Student > Postgraduate 6 7%
Other 12 14%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 27%
Medicine and Dentistry 11 13%
Psychology 11 13%
Computer Science 5 6%
Biochemistry, Genetics and Molecular Biology 5 6%
Other 17 20%
Unknown 12 14%