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Computational Methods and Data Analysis for Metabolomics

Overview of attention for book
Cover of 'Computational Methods and Data Analysis for Metabolomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Experimental Methods and Study Design in Metabolomics, and Statistical and Pathway Considerations
  3. Altmetric Badge
    Chapter 2 Metabolomics Data Processing Using XCMS
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    Chapter 3 Metabolomics Data Preprocessing Using ADAP and MZmine 2
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    Chapter 4 Metabolomics Data Processing Using OpenMS
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    Chapter 5 Analysis of NMR Metabolomics Data
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    Chapter 6 Key Concepts Surrounding Studies of Stable Isotope-Resolved Metabolomics
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    Chapter 7 Extracting Biological Insight from Untargeted Lipidomics Data
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    Chapter 8 Overview of Tandem Mass Spectral and Metabolite Databases for Metabolite Identification in Metabolomics
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    Chapter 9 METLIN: A Tandem Mass Spectral Library of Standards
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    Chapter 10 Metabolomic Data Exploration and Analysis with the Human Metabolome Database
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    Chapter 11 De Novo Molecular Formula Annotation and Structure Elucidation Using SIRIUS 4
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    Chapter 12 Annotation of Specialized Metabolites from High-Throughput and High-Resolution Mass Spectrometry Metabolomics
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    Chapter 13 Feature-Based Molecular Networking for Metabolite Annotation
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    Chapter 14 A Bioinformatics Primer to Data Science, with Examples for Metabolomics
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    Chapter 15 The Essential Toolbox of Data Science: Python, R, Git, and Docker
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    Chapter 16 Predictive Modeling for Metabolomics Data
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    Chapter 17 Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data
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    Chapter 18 Using Genome-Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data
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    Chapter 19 Pathway Analysis for Targeted and Untargeted Metabolomics
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    Chapter 20 Application of Metabolomics to Renal and Cardiometabolic Diseases
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    Chapter 21 Using the IDEOM Workflow for LCMS-Based Metabolomics Studies of Drug Mechanisms
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    Chapter 22 Analyzing Metabolomics Data for Environmental Health and Exposome Research
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    Chapter 23 Network-Based Approaches for Multi-omics Integration
Attention for Chapter 22: Analyzing Metabolomics Data for Environmental Health and Exposome Research
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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13 X users

Citations

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24 Dimensions

Readers on

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21 Mendeley
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Chapter title
Analyzing Metabolomics Data for Environmental Health and Exposome Research
Chapter number 22
Book title
Computational Methods and Data Analysis for Metabolomics
Published in
Methods in molecular biology, January 2020
DOI 10.1007/978-1-0716-0239-3_22
Pubmed ID
Book ISBNs
978-1-07-160238-6, 978-1-07-160239-3
Authors

Yuping Cai, Ana K Rosen Vollmar, Caroline Helen Johnson, Cai, Yuping, Rosen Vollmar, Ana K, Johnson, Caroline Helen

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Researcher 4 19%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 8 38%
Readers by discipline Count As %
Environmental Science 3 14%
Chemistry 3 14%
Nursing and Health Professions 2 10%
Agricultural and Biological Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 10%
Unknown 9 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 January 2020.
All research outputs
#4,303,674
of 24,133,587 outputs
Outputs from Methods in molecular biology
#1,103
of 13,615 outputs
Outputs of similar age
#96,427
of 462,618 outputs
Outputs of similar age from Methods in molecular biology
#16
of 96 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,615 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 91% 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 462,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.