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Applications of Mass Spectrometry in Microbiology

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Cover of 'Applications of Mass Spectrometry in Microbiology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Methods and Instrumentation in Mass Spectrometry for the Differentiation of Closely Related Microorganisms
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    Chapter 3 Sample Preparation Methods for the Rapid MS Analysis of Microorganisms
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    Chapter 4 Advantages Offered by Proteomic Strategies for Rapid Biodetection
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    Chapter 5 Bottom-Up Proteomics Methods for Strain-Level Typing and Identification of Bacteria
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    Chapter 6 Maximizing the Taxonomic Resolution of MALDI-TOF-MS-Based Approaches to Bacterial Characterization: From Culture Conditions Through Data Analysis
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    Chapter 7 Modulation of the Discriminatory Power of MALDI-TOF MS Profiling for Distinguishing Between Closely Related Bacterial Strains
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    Chapter 8 Discriminatory Power of MALDI-TOF Mass Spectrometry for Phylogenetically Closely Related Microbial Strains
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    Chapter 9 MALDI-TOF MS as a Novel Tool for Dereplication and Characterization of Microbiota in Bacterial Diversity Studies
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    Chapter 10 Bacterial Identification at the Serovar Level by Top-Down Mass Spectrometry
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    Chapter 11 Rapid Profiling of Human Pathogenic Bacteria and Antibiotic Resistance Employing Specific Tryptic Peptides as Biomarkers
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    Chapter 12 Detection of β-Lactamases and Their Activity Using MALDI-TOF MS
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    Chapter 13 Stable-Isotope-Based Strategies for Rapid Determination of Drug Resistance by Mass Spectrometry
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Title
Applications of Mass Spectrometry in Microbiology
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-26070-9
ISBNs
978-3-31-926068-6, 978-3-31-926070-9
Editors

Demirev, Plamen, Sandrin, Todd R.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 9%
Student > Master 3 9%
Researcher 3 9%
Student > Ph. D. Student 2 6%
Professor > Associate Professor 1 3%
Other 0 0%
Unknown 20 63%
Readers by discipline Count As %
Chemistry 3 9%
Agricultural and Biological Sciences 2 6%
Engineering 2 6%
Medicine and Dentistry 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 21 66%