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Metabolic Profiling

Overview of attention for book
Cover of 'Metabolic Profiling'

Table of Contents

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    Book Overview
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    Chapter 1 Metabolic Profiling: Status, Challenges, and Perspective
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    Chapter 2 Quality Control and Validation Issues in LC-MS Metabolomics
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    Chapter 3 Data Treatment for LC-MS Untargeted Analysis
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    Chapter 4 Bio- and Chemoinformatics Approaches for Metabolomics Data Analysis
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    Chapter 5 HILIC-MS/MS Multi-Targeted Method for Metabolomics Applications
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    Chapter 6 Ion Pair Chromatography for Endogenous Metabolites LC-MS Analysis in Tissue Samples Following Targeted Acquisition
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    Chapter 7 LC-MS Untargeted Analysis
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    Chapter 8 NMR-Based Metabolic Profiling Procedures for Biofluids and Cell and Tissue Extracts
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    Chapter 9 Untargeted GC-MS Metabolomics
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    Chapter 10 Rat Fecal Metabolomics-Based Analysis
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    Chapter 11 GC-MS Metabolomic Profiling of Protic Metabolites Following Heptafluorobutyl Chloroformate Mediated Dispersive Liquid Microextraction Sample Preparation Protocol
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    Chapter 12 Sheathless Capillary Electrophoresis-Mass Spectrometry for the Profiling of Charged Metabolites in Biological Samples
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    Chapter 13 Two-Phase Extraction for Comprehensive Analysis of the Plant Metabolome by NMR
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    Chapter 14 NMR Spectroscopy Protocols for Food Metabolomics Applications
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    Chapter 15 Direct Injection Analysis of Fruit VOCs by PTR-ToF-MS: The Apple Case Study
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    Chapter 16 LC-MS Untargeted Protocol for the Analysis of Wine
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    Chapter 17 Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage
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    Chapter 18 UHPLC-HRMS Analysis for Steroid Profiling in Serum (Steroidomics)
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    Chapter 19 Metabolomics in Human Acute-Exercise Trials: Study Design and Preparation
Attention for Chapter 5: HILIC-MS/MS Multi-Targeted Method for Metabolomics Applications
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Chapter title
HILIC-MS/MS Multi-Targeted Method for Metabolomics Applications
Chapter number 5
Book title
Metabolic Profiling
Published in
Methods in molecular biology, April 2018
DOI 10.1007/978-1-4939-7643-0_5
Pubmed ID
Book ISBNs
978-1-4939-7642-3, 978-1-4939-7643-0
Authors

Christina Virgiliou, Helen G. Gika, Georgios A. Theodoridis, Virgiliou, Christina, Gika, Helen G., Theodoridis, Georgios A.

Abstract

Metabolomics aims at the identification and quantification of key-end point metabolites, basically polar, in order to study changes in biochemical activities in response to pathophysiological stimuli or genetic modifications. Targeted profiling assays have enjoyed a growing popularity during the last years with LC-MS/MS as a powerful tool for development of such (semi-) quantitative methods for a large number of metabolites. Here we describe a method for absolute quantification of ca. 100 metabolites belonging to key metabolite classes such as sugars, amino acids, nucleotides, organic acids, and amines with a hydrophilic interaction liquid chromatography (HILIC) system comprised of ultra (high) performance liquid chromatography (UHPLC) with detection on a triple-quadrupole mass spectrometer operating in both positive and negative electrospray ionization modes.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Bachelor 3 14%
Researcher 2 9%
Student > Master 2 9%
Professor 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Chemistry 5 23%
Agricultural and Biological Sciences 4 18%
Pharmacology, Toxicology and Pharmaceutical Science 3 14%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Methods in molecular biology
#7,992
of 13,194 outputs
Outputs of similar age
#254,212
of 327,682 outputs
Outputs of similar age from Methods in molecular biology
#28
of 41 outputs
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So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.