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Lipidomics

Overview of attention for book
Cover of 'Lipidomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Lipid Sample Preparation for Biomedical Research
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    Chapter 2 Lipid Extraction Techniques for Stable Isotope Analysis and Ecological Assays
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    Chapter 3 Isolation of Lipid Raft Proteins from CD133+ Cancer Stem Cells
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    Chapter 4 Isolation of Neuronal Synaptic Membranes by Sucrose Gradient Centrifugation
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    Chapter 5 Sample Preparation and Analysis for Imaging Mass Spectrometry
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    Chapter 6 Direct Measurement of Free and Esterified Cholesterol Mass in Differentiated Human Podocytes: A TLC and Enzymatic Assay-Based Method
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    Chapter 7 High-Performance Chromatographic Separation of Cerebrosides
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    Chapter 8 Lipid Identification by Untargeted Tandem Mass Spectrometry Coupled with Ultra-High-Pressure Liquid Chromatography
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    Chapter 9 Utility of Moderate and High-Resolution Mass Spectrometry for Class-Specific Lipid Identification and Quantification
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    Chapter 10 A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry
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    Chapter 11 Combined Use of MALDI-TOF Mass Spectrometry and 31P NMR Spectroscopy for Analysis of Phospholipids
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    Chapter 12 Global Monitoring of the Mammalian Lipidome by Quantitative Shotgun Lipidomics
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    Chapter 13 Bioinformatics Pertinent to Lipid Analysis in Biological Samples
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    Chapter 14 LC–MS-Based Lipidomics and Automated Identification of Lipids Using the LipidBlast In-Silico MS/MS Library
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    Chapter 15 Single-Step Capture and Targeted Metabolomics of Alkyl-Quinolones in Outer Membrane Vesicles of Pseudomonas aeruginosa
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    Chapter 16 Analysis of Fatty Acid and Cholesterol Content from Detergent-Resistant and Detergent-Free Membrane Microdomains
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    Chapter 17 Computational Functional Analysis of Lipid Metabolic Enzymes
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    Chapter 18 Isoprenylation of Monomeric GTPases in Human Trabecular Meshwork Cells
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    Chapter 19 Purification and Validation of Lipid Transfer Proteins
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    Chapter 20 Incorporation of Artificial Lipid-Anchored Proteins into Cultured Mammalian Cells
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    Chapter 21 Sonication-Based Basic Protocol for Liposome Synthesis
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    Chapter 22 On Electrochemical Methods for Determination of Protein-Lipid Interaction
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    Chapter 23 Angiogenesis Model of Cornea to Understand the Role of Sphingosine 1-Phosphate
Attention for Chapter 5: Sample Preparation and Analysis for Imaging Mass Spectrometry
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Chapter title
Sample Preparation and Analysis for Imaging Mass Spectrometry
Chapter number 5
Book title
Lipidomics
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-6996-8_5
Pubmed ID
Book ISBNs
978-1-4939-6995-1, 978-1-4939-6996-8
Authors

Genea Edwards, Annia Mesa, Robert I. Vazquez-Padron, Jane-Marie Kowalski, Sanjoy K. Bhattacharya

Editors

Sanjoy K. Bhattacharya

Abstract

Imaging mass spectrometry (IMS) is a novel quantitative technique used to investigative diverse biomolecules in tissue sections. Specifically, IMS uses analytical separation of mass spectrometry to determine the spatial distribution of certain lipids and/or proteins located directly on biological sections from a single tissue sample. Typically, IMS is combined with histological analysis to reveal additional distribution details of characterized biomolecules including cell type and/or subcellular localization. In this chapter, we describe the use of Matrix-Assisted Laser Desorption/Ionization (MALDI) Time-Of-Flight/Time-Of-Flight (TOF/TOF) to analyze various cholesterol and phosphatidylcholine species in atherosclerotic plaque of murine heart aortic valves. In particular, we detail animals used, tissue collection, preparation, matrix application, spectra acquisition for generating a color-coded image based on IMS spectral characteristics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Chemistry 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 July 2017.
All research outputs
#13,044,767
of 22,985,065 outputs
Outputs from Methods in molecular biology
#3,312
of 13,149 outputs
Outputs of similar age
#150,619
of 315,315 outputs
Outputs of similar age from Methods in molecular biology
#41
of 270 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.