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Multiscale Computer Modeling in Biomechanics and Biomedical Engineering

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Cover of 'Multiscale Computer Modeling in Biomechanics and Biomedical Engineering'

Table of Contents

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    Book Overview
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    Chapter 146 Application of Neural Network and Finite Element Method for Multiscale Prediction of Bone Fatigue Crack Growth in Cancellous Bone
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    Chapter 147 Multiscale Computational Modeling in Vascular Biology: From Molecular Mechanisms to Tissue-Level Structure and Function
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    Chapter 148 Multiscale Modelling of Lymphatic Drainage
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    Chapter 149 Multiscale Approach to Understand the Multiphysics Phenomena in Bone Adaptation
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    Chapter 150 Modeling Multiscale Necrotic and Calcified Tissue Biomechanics in Cancer Patients: Application to Ductal Carcinoma In Situ (DCIS)
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    Chapter 151 Integration of Molecular Signaling into Multiscale Modeling of Cancer
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    Chapter 152 Translational Research: Multi-Scale Models of the Pulmonary Circulation in Health and Disease
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    Chapter 153 A Model of Electromechanical Coupling in the Small Intestine
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    Chapter 154 Multiscale Elastic Models of Collagen Bio-structures: From Cross-Linked Molecules to Soft Tissues
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    Chapter 155 Discrete and Continuum Multiscale Behaviour in Bacterial Communication
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    Chapter 156 Wound Healing: Multi-Scale Modeling
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    Chapter 157 Multiscale Modeling of Ligaments and Tendons
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    Chapter 158 A Multilevel Finite Element Approach to Study Pressure Ulcer Aetiology
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    Chapter 159 Multiscale Modeling in Vascular Disease and Tissue Engineering
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Title
Multiscale Computer Modeling in Biomechanics and Biomedical Engineering
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-36482-2
ISBNs
978-3-64-236481-5, 978-3-64-236482-2
Editors

Gefen, Amit

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 1%
Colombia 1 1%
Canada 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Researcher 12 16%
Student > Master 10 13%
Student > Doctoral Student 7 9%
Student > Bachelor 5 7%
Other 12 16%
Unknown 8 11%
Readers by discipline Count As %
Engineering 41 55%
Mathematics 5 7%
Medicine and Dentistry 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Computer Science 3 4%
Other 9 12%
Unknown 10 13%