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Depressive Disorders: Mechanisms, Measurement and Management

Overview of attention for book
Cover of 'Depressive Disorders: Mechanisms, Measurement and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Genetic Advance in Depressive Disorder
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    Chapter 3 Neuroimaging Advance in Depressive Disorder
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    Chapter 4 Neuroimmune Advance in Depressive Disorder
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    Chapter 5 Neurophysiologic Advance in Depressive Disorder
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    Chapter 6 Biological Rhythms Advance in Depressive Disorder
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    Chapter 7 Advances in Molecular and Circuitry Mechanisms of Depressive Disorder—A Focus on Lateral Habenula
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    Chapter 8 Advance in Stress for Depressive Disorder
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    Chapter 9 Advance in Diagnosis of Depressive Disorder
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    Chapter 10 Standardized Treatment Strategy for Depressive Disorder
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    Chapter 11 Optimized Treatment Strategy for Depressive Disorder
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    Chapter 12 Individualized Treatment Strategy for Depressive Disorder
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    Chapter 13 Psychological Treatment for Depressive Disorder
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    Chapter 14 Internet-Based Management for Depressive Disorder
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    Chapter 15 Potential Anti-Depressive Treatment Maneuvers from Bench to Bedside
Attention for Chapter 13: Psychological Treatment for Depressive Disorder
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Citations

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11 Dimensions

Readers on

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66 Mendeley
Summary Dimensions citations
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Chapter title
Psychological Treatment for Depressive Disorder
Chapter number 13
Book title
Depressive Disorders: Mechanisms, Measurement and Management
Published by
Springer, Singapore, November 2019
DOI 10.1007/978-981-32-9271-0_13
Pubmed ID
31784967
Book ISBNs
978-9-81-329270-3, 978-9-81-329271-0
Authors

Xiaobai Li, Qi Wang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 18%
Researcher 6 9%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 4 6%
Student > Master 4 6%
Other 8 12%
Unknown 27 41%
Readers by discipline Count As %
Psychology 17 26%
Nursing and Health Professions 8 12%
Medicine and Dentistry 8 12%
Social Sciences 1 2%
Computer Science 1 2%
Other 2 3%
Unknown 29 44%

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