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Biomarkers for Immunotherapy of Cancer

Overview of attention for book
Cover of 'Biomarkers for Immunotherapy of Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Status of Immune Oncology: Challenges and Opportunities
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    Chapter 2 Immunological Targets for Immunotherapy: Inhibitory T Cell Receptors
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    Chapter 3 Measuring Tumor Mutational Burden Using Whole-Exome Sequencing
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    Chapter 4 Germline Genetics in Immuno-oncology: From Genome-Wide to Targeted Biomarker Strategies
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    Chapter 5 Detection of Microsatellite Instability Biomarkers via Next-Generation Sequencing
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    Chapter 6 Genetic Instability Markers in Cancer
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    Chapter 7 Validation of Circulating Tumor DNA Assays for Detection of Metastatic Melanoma
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    Chapter 8 Techniques Associated with Exosome Isolation for Biomarker Development: Liquid Biopsies for Ovarian Cancer Detection
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    Chapter 9 Identifying MicroRNA Pathway Variants as Biomarkers of Patient Selection for Immune Therapy
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    Chapter 10 Histone Modifications as Biomarkers for Immunotherapy
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    Chapter 11 Functional Genome Profiling to Understand Cancer Immune Responsiveness
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    Chapter 12 Using RNA Sequencing to Characterize the Tumor Microenvironment
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    Chapter 13 Development of Gene Expression-Based Biomarkers on the nCounter® Platform for Immuno-Oncology Applications
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    Chapter 14 The CRISPR System and Cancer Immunotherapy Biomarkers
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    Chapter 15 HLA Class I Antigen Processing Machinery Defects in Cancer Cells—Frequency, Functional Significance, and Clinical Relevance with Special Emphasis on Their Role in T Cell-Based Immunotherapy of Malignant Disease
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    Chapter 16 High-Parameter Immune Profiling with CyTOF
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    Chapter 17 The Adaptome as Biomarker for Assessing Cancer Immunity and Immunotherapy
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    Chapter 18 Single-Molecule Arrays for Ultrasensitive Detection of Blood-Based Biomarkers for Immunotherapy
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    Chapter 19 Single-Cell Multiplexed Proteomics on the IsoLight Resolves Cellular Functional Heterogeneity to Reveal Clinical Responses of Cancer Patients to Immunotherapies
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    Chapter 20 Methods to Detect Immunogenic Cell Death In Vivo
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    Chapter 21 Overview of Tissue Imaging Methods
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    Chapter 22 Multiplex Immunofluorescence Assays
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    Chapter 23 Multiplexed Immunohistochemical Consecutive Staining on Single Slide (MICSSS): Multiplexed Chromogenic IHC Assay for High-Dimensional Tissue Analysis
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    Chapter 24 Cyclic Multiplexed-Immunofluorescence (cmIF), a Highly Multiplexed Method for Single-Cell Analysis
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    Chapter 25 High-Plex Spatially Resolved RNA and Protein Detection Using Digital Spatial Profiling: A Technology Designed for Immuno-oncology Biomarker Discovery and Translational Research
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    Chapter 26 The InSituPlex® Staining Method for Multiplexed Immunofluorescence Cell Phenotyping and Spatial Profiling of Tumor FFPE Samples
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    Chapter 27 Microbiome as an Immunological Modifier
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    Chapter 28 Systems Biology for Multiplatform Data Integration: An Overview
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    Chapter 29 Bioinformatics Tools and Resources for Cancer Immunotherapy Study
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    Chapter 30 Multiplatform Integrative Analysis of Immunogenomic Data for Biomarker Discovery
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    Chapter 31 Translating Immuno-oncology Biomarkers to Diagnostic Tests: A Regulatory Perspective
Attention for Chapter 25: High-Plex Spatially Resolved RNA and Protein Detection Using Digital Spatial Profiling: A Technology Designed for Immuno-oncology Biomarker Discovery and Translational Research
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet

Citations

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12 Dimensions

Readers on

mendeley
61 Mendeley
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Chapter title
High-Plex Spatially Resolved RNA and Protein Detection Using Digital Spatial Profiling: A Technology Designed for Immuno-oncology Biomarker Discovery and Translational Research
Chapter number 25
Book title
Biomarkers for Immunotherapy of Cancer
Published in
Methods in molecular biology, September 2019
DOI 10.1007/978-1-4939-9773-2_25
Pubmed ID
Book ISBNs
978-1-4939-9772-5, 978-1-4939-9773-2
Authors

Joseph M. Beechem, Beechem, Joseph M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 8 13%
Student > Bachelor 8 13%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 21 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 15%
Medicine and Dentistry 6 10%
Agricultural and Biological Sciences 4 7%
Neuroscience 2 3%
Immunology and Microbiology 2 3%
Other 12 20%
Unknown 26 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 September 2021.
All research outputs
#2,999,029
of 23,163,378 outputs
Outputs from Methods in molecular biology
#599
of 13,283 outputs
Outputs of similar age
#63,348
of 340,817 outputs
Outputs of similar age from Methods in molecular biology
#2
of 76 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,283 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 340,817 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 81% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.