↓ Skip to main content

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
  5. Altmetric Badge
    Chapter 4 Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
  6. Altmetric Badge
    Chapter 5 Fluorescence In Situ Hybridization (FISH) in Multiple Myeloma
  7. Altmetric Badge
    Chapter 6 Whole Exome Sequencing in Multiple Myeloma to Identify Somatic Single Nucleotide Variants and Key Translocations Involving Immunoglobulin Loci and MYC
  8. Altmetric Badge
    Chapter 7 RNA-Sequencing from Low-Input Material in Multiple Myeloma for Application in Clinical Routine
  9. Altmetric Badge
    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
  11. Altmetric Badge
    Chapter 10 Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
  12. Altmetric Badge
    Chapter 11 Analysis of Global Gene Expression Profiles
  13. Altmetric Badge
    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 4: Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

4 tweeters

Readers on

20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
Chapter number 4
Book title
Multiple Myeloma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7865-6_4
Pubmed ID
Book ISBNs
978-1-4939-7864-9, 978-1-4939-7865-6

Tina Smets, Frederik Stevenaert, Homer Adams, Greet Vanhoof, Smets, Tina, Stevenaert, Frederik, Adams, HC, Vanhoof, Greet


Mass cytometry has emerged as a new state-of-the-art technology that enables in-depth characterization of cellular populations and functions at a single cell resolution. We describe the application of this technology to deeply phenotype the blood and bone marrow components of multiple myeloma patients in a clinical setting. This technology allows for simultaneous quantification of more than 40 markers, overcoming the challenges of traditional fluorescence-based flow cytometry.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Other 3 15%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Other 4 20%
Unknown 3 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Medicine and Dentistry 5 25%
Agricultural and Biological Sciences 2 10%
Chemistry 2 10%
Immunology and Microbiology 1 5%
Other 0 0%
Unknown 3 15%

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 27 June 2018.
All research outputs
of 21,192,559 outputs
Outputs from Methods in molecular biology
of 11,944 outputs
Outputs of similar age
of 299,427 outputs
Outputs of similar age from Methods in molecular biology
of 1 outputs
Altmetric has tracked 21,192,559 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,944 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 71% 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 299,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them