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Infectious Disease Informatics

Overview of attention for book
Cover of 'Infectious Disease Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Informatics for Infectious Disease Research and Control
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    Chapter 2 Bioinformatics of Microbial Sequences
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    Chapter 3 Mining Databases for Microbial Gene Sequences
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    Chapter 4 Infectious Disease Informatics
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    Chapter 5 Systems Microbiology: Gaining Insights in Transcriptional Networks
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    Chapter 6 Host–Pathogen Systems Biology
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    Chapter 7 Text Mining for Discovery of Host–Pathogen Interactions
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    Chapter 8 A Network Approach to Understanding Pathogen Population Structure
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    Chapter 9 Computational Epitope Mapping
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    Chapter 10 Pangenomic Reverse Vaccinology
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    Chapter 11 Immunoinformatics: The Next Step in Vaccine Design
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    Chapter 12 Understanding the Shared Bacterial Genome
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    Chapter 13 Computational Grammars for Interrogation of Genomes
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    Chapter 14 In silico Discovery of Chemotherapeutic Agents
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    Chapter 15 Informatics for Healthcare Epidemiology
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    Chapter 16 Automated, High-throughput Surveillance Systems for Public Health
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    Chapter 17 Microbial Genotyping Systems for Infection Control
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    Chapter 18 Infectious Disease Informatics
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    Chapter 19 Infectious Disease Ontology
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    Chapter 20 Populations, Patients, Germs and Genes: Ethics Of Genomics and Informatics in Communicable Disease Control
Overall attention for this book and its chapters
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Mentioned by

news
8 news outlets
wikipedia
2 Wikipedia pages

Citations

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9 Dimensions

Readers on

mendeley
146 Mendeley
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Title
Infectious Disease Informatics
Published by
Springer, New York, NY, September 2014
DOI 10.1007/978-1-4419-1327-2
ISBNs
978-1-4419-1326-5, 978-1-4419-1327-2, 978-1-4899-8295-7
Editors

Vitali Sintchenko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 1 <1%
United Arab Emirates 1 <1%
Canada 1 <1%
Malaysia 1 <1%
Denmark 1 <1%
Slovenia 1 <1%
Unknown 136 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 25%
Researcher 29 20%
Student > Master 20 14%
Student > Bachelor 14 10%
Other 9 6%
Other 27 18%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 27%
Computer Science 24 16%
Medicine and Dentistry 22 15%
Immunology and Microbiology 7 5%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 29 20%
Unknown 18 12%