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The Impact of Food Bioactives on Health

Overview of attention for book
Cover of 'The Impact of Food Bioactives on Health'

Table of Contents

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    Book Overview
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    Chapter 1 Static Digestion Models: General Introduction
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    Chapter 2 InfoGest Consensus Method
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    Chapter 3 Approaches to Static Digestion Models
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    Chapter 4 Dynamic Digestion Models: General Introduction
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    Chapter 5 The TNO Gastro-Intestinal Model (TIM)
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    Chapter 6 Dynamic Gastric Model (DGM)
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    Chapter 7 Human Gastric Simulator (Riddet Model)
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    Chapter 8 The DIDGI® System
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    Chapter 9 Epithelial Cell Models; General Introduction
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    Chapter 10 Caco-2 Cell Line
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    Chapter 11 HT29 Cell Line
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    Chapter 12 The IPEC-J2 Cell Line
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    Chapter 13 Co-cultivation of Caco-2 and HT-29MTX
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    Chapter 14 THP-1 and U937 Cells
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    Chapter 15 Peripheral Blood Mononuclear Cells
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    Chapter 16 PBMC-Derived T Cells
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    Chapter 17 Dendritic Cells
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    Chapter 18 Co-culture Caco-2/Immune Cells
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    Chapter 19 STC-1 Cells
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    Chapter 20 NCI-H716 Cells
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    Chapter 21 Murine GLUTag Cells
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    Chapter 22 Intestinal Crypt Organoids as Experimental Models
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    Chapter 23 Porcine Ex Vivo Intestinal Segment Model
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    Chapter 24 Ussing Chamber
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    Chapter 25 One Compartment Fermentation Model
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    Chapter 26 The TNO In Vitro Model of the Colon (TIM-2)
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    Chapter 27 The Simulator of the Human Intestinal Microbial Ecosystem (SHIME®)
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    Chapter 28 The Computer-Controlled Multicompartmental Dynamic Model of the Gastrointestinal System SIMGI
Overall attention for this book and its chapters
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Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
13 tweeters
patent
6 patents
wikipedia
9 Wikipedia pages
video
2 video uploaders

Citations

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288 Dimensions

Readers on

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1487 Mendeley
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Title
The Impact of Food Bioactives on Health
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-16104-4
ISBNs
978-3-31-915791-7, 978-3-31-916104-4, 978-3-31-935366-1
Editors

Kitty Verhoeckx, Paul Cotter, Iván López-Expósito, Charlotte Kleiveland, Tor Lea, Alan Mackie, Teresa Requena, Dominika Swiatecka, Harry Wichers

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,487 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 <1%
Unknown 1485 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 259 17%
Student > Ph. D. Student 223 15%
Student > Bachelor 218 15%
Researcher 187 13%
Student > Doctoral Student 81 5%
Other 151 10%
Unknown 368 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 298 20%
Biochemistry, Genetics and Molecular Biology 268 18%
Immunology and Microbiology 91 6%
Engineering 83 6%
Pharmacology, Toxicology and Pharmaceutical Science 73 5%
Other 237 16%
Unknown 437 29%