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Cancer Metabolism

Overview of attention for book
Cover of 'Cancer Metabolism'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Metabolic Labeling of Cultured Mammalian Cells for Stable Isotope-Resolved Metabolomics: Practical Aspects of Tissue Culture and Sample Extraction
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    Chapter 1 Architecture of Integration of Industrialization and Informatization
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    Chapter 2 Big Data Architecture and Reference Models
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    Chapter 2 Imaging Cancer Metabolism with Positron Emission Tomography (PET)
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    Chapter 3 Introduction to Personalisation in Cyber-Physical-Social Systems
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    Chapter 3 Radioluminescence Microscopy: A Quantitative Method for Radioisotopic Imaging of Metabolic Fluxes in Living Cancer Cells
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    Chapter 4 Sustainability Assessment of Manufacturing Organizations Based on Indicator Sets: A Formal Concept Analysis
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    Chapter 4 Use of 13C315N1-Serine or 13C515N1-Methionine for Studying Methylation Dynamics in Cancer Cell Metabolism and Epigenetics
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    Chapter 5 Measurement of Mitochondrial Membrane Potential with the Fluorescent Dye Tetramethylrhodamine Methyl Ester (TMRM)
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    Chapter 5 Information Systems for Steel Production: The Importance of Resilience
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    Chapter 6 Assessment of Stabilization and Activity of the HIFs Important for Hypoxia-Induced Signalling in Cancer Cells
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    Chapter 6 Collaborative Platform for Urban Transport Engineering, Praia Case Study
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    Chapter 7 Proof of Concept on Time Travelling and Assertions Generating an Assertions Administration Using FBM
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    Chapter 7 Determination of Polarization of Resident Macrophages and Their Effect on the Tumor Microenvironment
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    Chapter 8 Quantitation of Macropinocytosis in Cancer Cells
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    Chapter 8 Towards Key Principles of Fact Based Thinking
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    Chapter 9 Using FBM, DMN and BPMN to Analyse and Improve Medical Guidelines
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    Chapter 9 Integrated Analysis of Acetyl-CoA and Histone Modification via Mass Spectrometry to Investigate Metabolically Driven Acetylation
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    Chapter 10 Towards a Complete Metamodel for DEMO CM
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    Chapter 10 Methods to Measure Autophagy in Cancer Metabolism
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    Chapter 11 The Lifecycle of a User Transaction in a Hyperledger Fabric Blockchain Network Part 1: Propose and Endorse
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    Chapter 11 Lipidomic Analysis of Cancer Cell and Tumor Tissues
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    Chapter 12 Mass Spectrometry-Based Profiling of Metabolites in Human Biofluids
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    Chapter 12 FBM Helps SVB to Improve PGB Service
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    Chapter 13 Agile Needs FBM
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    Chapter 13 Gas Chromatography-Mass Spectrometry and Analysis of the Serum Metabolomic Profile Through Extraction and Derivatization of Polar Metabolites
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    Chapter 14 Agile and FBM: A Match Made in Heaven
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    Chapter 14 Metabolite Profiling of Clinical Cancer Biofluid Samples by NMR Spectroscopy
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    Chapter 15 Assessment of Metabolic Signature for Cancer Diagnosis Using Desorption Electrospray Ionization Mass Spectrometric Imaging
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    Chapter 15 The Role of a Fact-Based Model for Defining Data Quality
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    Chapter 16 Compositional Analysis of the Human Microbiome in Cancer Research
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    Chapter 16 The Lifecycle of a User Transaction in a Hyperledger Fabric Blockchain Network Part 2: Order and Validate
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    Chapter 17 Scale Your Information Modeling Effort Using the Power of the Crowd
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    Chapter 17 Assessing Metabolic Dysregulation in Muscle During Cachexia
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    Chapter 18 Using Seahorse Machine to Measure OCR and ECAR in Cancer Cells
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    Chapter 18 RDA Europe and Industry
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    Chapter 19 Self-optimization in Quality Assurance with Cyber-Physical Systems
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    Chapter 19 Metabolic Profiling of Live Cancer Tissues Using NAD(P)H Fluorescence Lifetime Imaging
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    Chapter 20 Modeling Sensor Networks for Predictive Maintenance
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    Chapter 20 Overview of Characterizing Cancer Glycans with Lectin-Based Analytical Methods
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    Chapter 21 Framework for Collaborative Software Testing Efforts Between Cross-Functional Teams Aiming at High Quality End Product
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    Chapter 21 Hyperpolarized MRI for Studying Tumor Metabolism
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    Chapter 22 CONSENSORS: A Neural Network Framework for Sensor Data Analysis
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    Chapter 22 Overview of Glutamine Dependency and Metabolic Rescue Protocols
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    Chapter 23 Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype
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    Chapter 23 Flexibility and Interoperability of Production Processes Units
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    Chapter 24 Biclustering Analysis of Co-regulation Patterns in Nuclear-Encoded Mitochondrial Genes and Metabolic Pathways
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    Chapter 24 A NLP Approach to Software Quality Models Evaluation
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    Chapter 25 Using the Human Genome-Scale Metabolic Model Recon 2 for Steady-State Flux Analysis of Cancer Cell Metabolism
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    Chapter 25 Automatic Query Translation Disambiguation Using Bilingual Proximity-Based Approach
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    Chapter 26 Related Terms Extraction from Arabic News Corpus Using Word Embedding
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    Chapter 27 Green Map - An Application for Air Quality Monitoring in the City
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    Chapter 28 Local and Open ICH Archives: Developing Integration and Interaction Tools
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    Chapter 29 Unsupervised Automatic Keyphrases Extraction Algorithms
Attention for Chapter 16: Compositional Analysis of the Human Microbiome in Cancer Research
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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8 X users

Citations

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Chapter title
Compositional Analysis of the Human Microbiome in Cancer Research
Chapter number 16
Book title
Cancer Metabolism
Published in
Methods in molecular biology, February 2019
DOI 10.1007/978-1-4939-9027-6_16
Pubmed ID
Book ISBNs
978-1-4939-9026-9, 978-1-4939-9027-6
Authors

Elisa Morales, Jun Chen, K. Leigh Greathouse, Morales, Elisa, Chen, Jun, Greathouse, K. Leigh

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Other 2 9%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 11 48%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Immunology and Microbiology 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Mathematics 1 4%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 June 2019.
All research outputs
#6,094,131
of 23,128,387 outputs
Outputs from Methods in molecular biology
#1,796
of 13,268 outputs
Outputs of similar age
#127,400
of 437,733 outputs
Outputs of similar age from Methods in molecular biology
#14
of 49 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,268 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% 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 437,733 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 70% of its contemporaries.
We're also able to compare this research output to 49 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 71% of its contemporaries.