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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 1: Molecular Malfeasance Mediating Myeloid Malignancies: The Genetics of Acute Myeloid Leukemia
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Chapter title
Molecular Malfeasance Mediating Myeloid Malignancies: The Genetics of Acute Myeloid Leukemia
Chapter number 1
Book title
Acute Myeloid Leukemia
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7142-8_1
Pubmed ID
Book ISBNs
978-1-4939-7140-4, 978-1-4939-7142-8
Authors

King, Rebecca L., Bagg, Adam, Rebecca L. King, Adam Bagg

Abstract

A remarkable number of different, but recurrent, structural cytogenetic abnormalities have been observed in AML, and the 2016 WHO AML classification system incorporates numerous distinct entities associated with translocations or inversions, as well as others associated with single gene mutations into a category entitled "AML with recurrent genetic abnormalities." The AML classification is heavily reliant on cytogenetic and molecular information based on conventional genetic techniques (including karyotype, fluorescence in situ hybridization, reverse transcriptase polymerase chain reaction, single gene sequencing), but large-scale next generation sequencing is now identifying novel mutations. With targeted next generation sequencing panels now clinically available at many centers, detection of mutations, as well as alterations in epigenetic modifiers, is becoming part of the routine diagnostic evaluation of AML and will likely impact future classification schemes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Unknown 5 63%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 August 2017.
All research outputs
#14,073,810
of 22,990,068 outputs
Outputs from Methods in molecular biology
#3,960
of 13,152 outputs
Outputs of similar age
#169,864
of 316,114 outputs
Outputs of similar age from Methods in molecular biology
#55
of 249 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 has gotten more attention than average, scoring higher than 68% 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 316,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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 has done well, scoring higher than 75% of its contemporaries.