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Mental Modeling Approach

Overview of attention for book
Cover of 'Mental Modeling Approach'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Mental Modeling
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    Chapter 2 Mental Modeling Research Technical Approach
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    Chapter 3 Science of Mental Modeling
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    Chapter 4 Flood Risk Management
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    Chapter 5 Adaptive Management for Climate Change
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    Chapter 6 Technology Infusion and Marketing
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    Chapter 7 Farmers’ Decision Making to Avoid Drug Residues in Dairy Cows: A Mental Modeling Case Study
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    Chapter 8 Influence of the CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: A Customized Strategic Communications Process Based on Mental Modeling
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    Chapter 9 The Chamber of Mines of South Africa Leading Practice Adoption System
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    Chapter 10 Conducting Effective Outreach with Community Stakeholders About Biosolids: A Customized Strategic Risk Communications Process™ Based on Mental Modeling
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    Chapter 11 Using Mental Modeling to Systematically Build Community Support for New Coal Technologies for Electricity Generation
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    Chapter 12 Saving Lives from a Silent Killer: Using Mental Modeling to Address Homeowners’ Decision Making About Carbon Monoxide Poisoning
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    Chapter 13 U.S. Census Bureau Integrated Communications Services for Data Dissemination: Mental Modeling Case Study with Key Internal Expert Stakeholders
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    Chapter 14 Supporting and Expanding the Scope and Application of Mental Modeling: Current and Future Software Developments
Attention for Chapter 4: Flood Risk Management
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Citations

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Readers on

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11 Mendeley
Summary Dimensions citations
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Chapter title
Flood Risk Management
Chapter number 4
Book title
Mental Modeling Approach
Published by
Springer New York, December 2016
DOI 10.1007/978-1-4939-6616-5_4
Book ISBNs
978-1-4939-6614-1, 978-1-4939-6616-5
Authors

Matthew D. Wood Ph.D., Igor Linkov Ph.D., Daniel Kovacs Ph.D., Gordon Butte, Matthew D. Wood, Igor Linkov, Daniel Kovacs

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 9%
Unknown 10 91%
Readers by discipline Count As %
Unspecified 1 9%
Unknown 10 91%

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