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Mass Spectrometry for Metabolomics

Overview of attention for book
Cover of 'Mass Spectrometry for Metabolomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Comprehensive and High-Throughput Method for Quantitative Fingerprinting of Phenolic Compounds
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    Chapter 2 Determination of Volatile Metabolites in Vinegar by Solid-Phase Microextraction–Gas Chromatography–Mass Spectrometry (SPME–GC–MS)
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    Chapter 3 Determination of Volatile Metabolites in Vinegar by Stir Bar Sorptive Extraction–Gas Chromatography–Mass Spectrometry (SBSE–GC–MS)
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    Chapter 4 Discovery of Food Intake Biomarkers Using Metabolomics
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    Chapter 5 Metabolomic Characterization of the Antiproliferative Activity of Bioactive Compounds from Fruit By-Products Against Colon Cancer Cells
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    Chapter 6 Untargeted Metabolomics by Liquid Chromatography–Mass Spectrometry in Biomedical Research
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    Chapter 7 Untargeted Metabolomics for Disease-Specific Signatures
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    Chapter 8 Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis-Mass Spectrometry
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    Chapter 9 Capillary Electrophoresis–Mass Spectrometry for the Direct Analysis of Metabolites in Highly Saline Samples Using In-Capillary Preconcentration
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    Chapter 10 Chemical Derivatization to Enhance Capillary Electrophoresis Mass Spectrometric Analysis of Acidic Metabolites in Mammalian Cells
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    Chapter 11 Untargeted Metabolomics Based on Liquid Chromatography–Mass Spectrometry for the Analysis of Plasma and Erythrocyte Samples in Childhood Obesity
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    Chapter 12 Characterization of the Plasmatic and Erythroid Multielemental Biodistribution in Childhood Obesity Using a High-Throughput Method for Size Fractionation of Metal Species
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    Chapter 13 Analysis of Brain Metabolites Using Two Complementary Ultrahigh-Performance Liquid Chromatography–Mass Spectrometry Methods
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    Chapter 14 Analysis of Cholesterol from the Liver Using Gas Chromatography–Mass Spectrometry
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    Chapter 15 Metabolomics Analysis of Aqueous Humor Based on Liquid Chromatography–Mass Spectrometry
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    Chapter 16 Analyses and Localization of Serotonin and L-DOPA in Ocular Tissues by Imaging Mass Spectrometry
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    Chapter 17 Isobaric Incorporation of C13-Histidine for the Assessment of Remyelination
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    Chapter 18 Isolation and Lipidomic Screening of Human Milk Extracellular Vesicles
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    Chapter 19 Mass Spectrometry-Based Untargeted Metabolomics and Lipidomics Platforms to Analyze Cell Culture Extracts
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    Chapter 20 Data Processing and Analysis in Mass Spectrometry-Based Metabolomics
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    Chapter 21 Data Processing and Analysis in Liquid Chromatography–Mass Spectrometry-Based Targeted Metabolomics
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    Chapter 22 Instrument-Agnostizing Methodology for Liquid Chromatography–Mass Spectrometry Systems
Attention for Chapter 18: Isolation and Lipidomic Screening of Human Milk Extracellular Vesicles
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Chapter title
Isolation and Lipidomic Screening of Human Milk Extracellular Vesicles
Chapter number 18
Book title
Mass Spectrometry for Metabolomics
Published in
Methods in molecular biology, September 2022
DOI 10.1007/978-1-0716-2699-3_18
Pubmed ID
Book ISBNs
978-1-07-162698-6, 978-1-07-162699-3
Authors

Victoria Ramos-Garcia, Isabel Ten-Doménech, Abel Albiach-Delgado, Marta Gómez-Ferrer, Pilar Sepúlveda, Anna Parra-Llorca, Laura Campos-Berga, Alba Moreno-Giménez, Guillermo Quintás, Julia Kuligowski, Ramos-Garcia, Victoria, Ten-Doménech, Isabel, Albiach-Delgado, Abel, Gómez-Ferrer, Marta, Sepúlveda, Pilar, Parra-Llorca, Anna, Campos-Berga, Laura, Moreno-Giménez, Alba, Quintás, Guillermo, Kuligowski, Julia

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Chemistry 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 September 2022.
All research outputs
#15,236,451
of 23,419,482 outputs
Outputs from Methods in molecular biology
#4,851
of 13,324 outputs
Outputs of similar age
#222,195
of 438,034 outputs
Outputs of similar age from Methods in molecular biology
#72
of 286 outputs
Altmetric has tracked 23,419,482 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 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 59% 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 438,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.