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Multiple Myeloma

Overview of attention for book
Cover of 'Multiple Myeloma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ELDA qASO-PCR for High Sensitivity Detection of Tumor Cells in Bone Marrow and Peripheral Blood
  3. Altmetric Badge
    Chapter 2 EuroFlow-Based Next-Generation Flow Cytometry for Detection of Circulating Tumor Cells and Minimal Residual Disease in Multiple Myeloma
  4. Altmetric Badge
    Chapter 3 Cytoplasmic Immunoglobulin Vs. DNA Analysis by Flow Cytometry
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    Chapter 4 Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
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    Chapter 5 Fluorescence In Situ Hybridization (FISH) in Multiple Myeloma
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    Chapter 6 Whole Exome Sequencing in Multiple Myeloma to Identify Somatic Single Nucleotide Variants and Key Translocations Involving Immunoglobulin Loci and MYC
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    Chapter 7 RNA-Sequencing from Low-Input Material in Multiple Myeloma for Application in Clinical Routine
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    Chapter 8 Protocol for M 3 P: A Comprehensive and Clinical Oriented Targeted Sequencing Panel for Routine Molecular Analysis in Multiple Myeloma
  10. Altmetric Badge
    Chapter 9 Analysis of Circulating Tumor DNA
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    Chapter 10 Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
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    Chapter 11 Analysis of Global Gene Expression Profiles
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    Chapter 12 Genome Wide Mapping of Methylated and Hydroxyl-Methylated Cytosines Using a Modified HpaII Tiny Fragment Enrichment by Ligation Mediated PCR Tagged Sequencing Protocol
  14. Altmetric Badge
    Chapter 13 A Rapid and Robust Protocol for Reduced Representation Bisulfite Sequencing in Multiple Myeloma
  15. Altmetric Badge
    Chapter 14 Microfluidic Production and Application of Lipid Nanoparticles for Nucleic Acid Transfection
  16. Altmetric Badge
    Chapter 15 Microfluidic Assembly of Liposomes with Tunable Size and Coloading Capabilities
Attention for Chapter 2: EuroFlow-Based Next-Generation Flow Cytometry for Detection of Circulating Tumor Cells and Minimal Residual Disease in Multiple Myeloma
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  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Chapter title
EuroFlow-Based Next-Generation Flow Cytometry for Detection of Circulating Tumor Cells and Minimal Residual Disease in Multiple Myeloma
Chapter number 2
Book title
Multiple Myeloma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7865-6_2
Pubmed ID
29797249
Book ISBNs
978-1-4939-7864-9, 978-1-4939-7865-6
Authors

Leire Burgos, Bruno Paiva, Burgos, Leire, Paiva, Bruno

Abstract

Here, we describe the detailed protocol for minimal residual disease (MRD) assessment as well as circulating tumor cell (CTC) detection in patients with plasma cell disorders using the next-generation flow (NGF) method developed by EuroFlow. This includes the previous setup of flow cytometers, preparation and staining of samples, cell acquisition, quality control of instruments, methods and samples, as well as data interpretation to monitor MRD and CTCs with great sensitivity. It should be noted that the NGF method fully described below can be equally applied to monitor MRD in patients with systemic light-chain amyloidosis and to detect occult bone marrow involvement in patients with solitary plasmocytoma.

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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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Medicine and Dentistry 1 10%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 June 2018.
All research outputs
#13,376,343
of 23,081,466 outputs
Outputs from Methods in molecular biology
#3,502
of 13,201 outputs
Outputs of similar age
#214,143
of 442,597 outputs
Outputs of similar age from Methods in molecular biology
#328
of 1,499 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 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 72% 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 442,597 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.

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