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Overview of attention for book
Cover of 'Immunophenotyping'

Table of Contents

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    Book Overview
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    Chapter 1 High-Dimensional Immunophenotyping with Fluorescence-Based Cytometry: A Practical Guidebook
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    Chapter 2 Immunophenotyping by Mass Cytometry
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    Chapter 3 Fluorescent Cell Barcoding for Immunophenotyping
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    Chapter 4 Immunophenotyping Using Dried and Lyophilized Reagents
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    Chapter 5 Guidelines for Gating Flow Cytometry Data for Immunological Assays
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    Chapter 6 Strategies and Techniques for NK Cell Phenotyping
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    Chapter 7 Immunophenotyping of Human B Lymphocytes in Blood and in Adipose Tissue
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    Chapter 8 Multiparametric Flow Cytometry Analysis of Naïve, Memory, and Effector T Cells
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    Chapter 9 Immunophenotyping of Human Regulatory T Cells
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    Chapter 10 Immunophenotyping of Human Innate Lymphoid Cells
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    Chapter 11 Enumeration of Plasmacytoid Dendritic Cells in Peripheral Blood and Bone Marrow by Flow-Cytometric Analysis
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    Chapter 12 Immunophenotyping of Circulating Endothelial Cells and Endothelial Microparticles
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    Chapter 13 Rare Event Phenotyping and Molecular Characterization: Circulating Tumor Cells
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    Chapter 14 Quality Control of Immunophenotyping
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    Chapter 15 Immunophenotyping of Acute Myeloid Leukemia
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    Chapter 16 Immunophenotyping of Acute Lymphoblastic Leukemia
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    Chapter 17 Clinical Flow-Cytometric Testing in Chronic Lymphocytic Leukemia
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    Chapter 18 Immunophenotyping of Paroxysmal Nocturnal Hemoglobinuria (PNH)
Attention for Chapter 2: Immunophenotyping by Mass Cytometry
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Chapter title
Immunophenotyping by Mass Cytometry
Chapter number 2
Book title
Published by
Humana, New York, NY, September 2019
DOI 10.1007/978-1-4939-9650-6_2
Pubmed ID
Book ISBNs
978-1-4939-9649-0, 978-1-4939-9650-6

Gregory K. Behbehani

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 78%
Student > Master 2 22%
Readers by discipline Count As %
Immunology and Microbiology 5 56%
Agricultural and Biological Sciences 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Medicine and Dentistry 1 11%