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Immunosenescence

Overview of attention for book
Cover of 'Immunosenescence'

Table of Contents

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    Book Overview
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    Chapter 1 Isolation of Lipid Rafts from Human Neutrophils by Density Gradient Centrifugation
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    Chapter 2 Flow Cytometry Analysis of NK Cell Phenotype and Function in Aging.
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    Chapter 3 Flow Cytometric Identification of Fibrocytes in the Human Circulation.
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    Chapter 4 Experimental Approaches to Tissue Injury and Repair in Advanced Age.
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    Chapter 5 Multicolor Digital Flow Cytometry in Human Translational Immunology
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    Chapter 6 Flow Cytometry-Based Methods to Characterize Immune Senescence in Nonhuman Primates.
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    Chapter 7 Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry.
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    Chapter 8 Imaging Immunosenescence.
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    Chapter 9 Activation-Induced Cytidine Deaminase and Switched Memory B Cells as Predictors of Effective In Vivo Responses to the Influenza Vaccine
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    Chapter 10 Analyzing the Effect of Aging on CD8+ T-Cell Phenotype Using Flow Cytometry
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    Chapter 11 Immunosenecence
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    Chapter 12 Assays for Monitoring Macroautophagy Activity in T cells.
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    Chapter 13 Fluorescence-Based Approaches for Quantitative Assessment of Protein Carbonylation, Protein Disulfides, and Protein Conformation in Biological Tissues
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    Chapter 14 Monitoring the DNA Damage Response at Dysfunctional Telomeres
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    Chapter 15 Single-Cell Analysis of T-Cell Receptor αβ Repertoire.
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    Chapter 16 Immunosenecence
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    Chapter 17 Laboratory and Data Analysis Methods for Characterization of Human B Cell Repertoires by High-Throughput DNA Sequencing.
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    Chapter 18 Discovery of Novel microRNAs in Aging Caenorhabditis elegans.
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    Chapter 19 Analysis of DNA Methylation by Pyrosequencing.
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    Chapter 20 ERRATUM
Overall attention for this book and its chapters
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22 tweeters

Citations

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Readers on

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108 Mendeley
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Title
Immunosenescence
Published by
Springer New York, September 2015
DOI 10.1007/978-1-4939-2963-4
Pubmed ID
ISBNs
978-1-4939-2962-7, 978-1-4939-2963-4
Editors

Shaw, Albert C.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 7%
Researcher 5 5%
Student > Doctoral Student 3 3%
Other 3 3%
Professor 2 2%
Other 3 3%
Unknown 84 78%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 6%
Medicine and Dentistry 6 6%
Immunology and Microbiology 4 4%
Engineering 2 2%
Agricultural and Biological Sciences 1 <1%
Other 5 5%
Unknown 83 77%