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Acute Myeloid Leukemia

Overview of attention for book
Cover of 'Acute Myeloid Leukemia'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Malfeasance Mediating Myeloid Malignancies: The Genetics of Acute Myeloid Leukemia
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    Chapter 2 Cytochemical Staining
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    Chapter 3 Immunohistochemistry in Acute Myeloid Leukemia
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    Chapter 4 Immunophenotyping by Multiparameter Flow Cytometry
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    Chapter 5 Single-Cell Mass Cytometry of Acute Myeloid Leukemia and Leukemia Stem/Progenitor Cells
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    Chapter 6 Design and Application of Multiplex PCR Seq for the Detection of Somatic Mutations Associated with Myeloid Malignancies
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    Chapter 7 AMLprofiler: A Diagnostic and Prognostic Microarray for Acute Myeloid Leukemia
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    Chapter 8 Microsphere-Based Assessment of DNA Methylation for AML Prognosis
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    Chapter 9 Genome-Wide Analysis of DNA Methylation in Hematopoietic Cells: DNA Methylation Analysis by WGBS
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    Chapter 10 Detection and Quantification of Acute Myeloid Leukemia-Associated Fusion Transcripts
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    Chapter 11 Targeted Next-Generation Sequencing of Acute Leukemia
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    Chapter 12 Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples
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    Chapter 13 A Zebrafish Model for Evaluating the Function of Human Leukemic Gene IDH1 and Its Mutation
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    Chapter 14 Measurement of Oncometabolites d-2-Hydroxyglutaric Acid and l-2-Hydroxyglutaric Acid
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    Chapter 15 Nanofluidic Allele-Specific Digital PCR Method for Quantifying IDH1 and IDH2 Mutation Burden in Acute Myeloid Leukemia
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    Chapter 16 Isolation of Biologically Active Exosomes from Plasma of Patients with Cancer
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    Chapter 17 Generating and Expanding Autologous Chimeric Antigen Receptor T Cells from Patients with Acute Myeloid Leukemia
Attention for Chapter 16: Isolation of Biologically Active Exosomes from Plasma of Patients with Cancer
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Chapter title
Isolation of Biologically Active Exosomes from Plasma of Patients with Cancer
Chapter number 16
Book title
Acute Myeloid Leukemia
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7142-8_16
Pubmed ID
28735492
Book ISBNs
978-1-4939-7140-4, 978-1-4939-7142-8
Authors

Hong, Chang-Sook, Funk, Sonja, Whiteside, Theresa L., Chang-Sook Hong, Sonja Funk, Theresa L. Whiteside

Abstract

A method for exosome isolation from human plasma was developed for rapid, high-throughput processing of plasma specimens obtained from patients with cancer. This method removes the bulk of plasma proteins associated with exosomes and can be used for comparative examinations of exosomes and their content in serial specimens of patients' plasma, allowing for monitoring changes in exosome numbers, profiles, and functions in the course of cancer progression or during therapy. The plasma-derived exosomes can be recovered in quantities sufficient for the characterization of their morphology by transmission electron microscopy (TEM), size and concentration by qNano, protein/lipid ratios, nucleic acid extraction, molecular profiling by Western blots or immune arrays, and functional assays.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 14 17%
Student > Master 13 16%
Student > Bachelor 7 9%
Unspecified 3 4%
Other 11 14%
Unknown 17 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 27%
Agricultural and Biological Sciences 12 15%
Medicine and Dentistry 11 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Unspecified 3 4%
Other 11 14%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 July 2017.
All research outputs
#20,436,330
of 22,990,068 outputs
Outputs from Methods in molecular biology
#9,932
of 13,152 outputs
Outputs of similar age
#275,925
of 316,114 outputs
Outputs of similar age from Methods in molecular biology
#190
of 249 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,152 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 316,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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