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Cancer Stem Cells

Overview of attention for book
Cancer Stem Cells
Springer US

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cancer Stem Cells: Current Challenges and Future Perspectives
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    Chapter 2 Immunohistochemistry for Cancer Stem Cell Detection: Principles and Methods
  4. Altmetric Badge
    Chapter 3 Isolating Cancer Stem Cells from Solid Tumors
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    Chapter 4 Surface Markers for the Identification of Cancer Stem Cells
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    Chapter 5 CD44-Based Detection of CSCs: CD44 Immunodetection by Flow Cytometry
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    Chapter 6 ALDH Activity Assay: A Method for Cancer Stem Cell (CSC) Identification and Isolation
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    Chapter 7 In Vitro Tumorigenic Assay: A Tumor Sphere Assay for Cancer Stem Cells
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    Chapter 8 Multicellular Tumoroids for Investigating Cancer Stem-Like Cells in the Heterogeneous Tumor Microenvironment
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    Chapter 9 Generation, Expansion, and Biobanking of Gastrointestinal Patient-Derived Organoids from Tumor and Normal Tissues
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    Chapter 10 Prostate Cancer Organoids for Tumor Modeling and Drug Screening
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    Chapter 11 Mimicking the Tumor Niche: Methods for Isolation, Culture, and Characterization of Cancer Stem Cells and Multicellular Spheroids
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    Chapter 12 Detection of Cancer Stem Cells in Normal and Dysplastic/Leukemic Human Blood
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    Chapter 13 Methods to Study the Role of Mechanical Signals in the Induction of Cancer Stem Cells
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    Chapter 14 Co-Delivery Polymeric Poly(Lactic-Co-Glycolic Acid) (PLGA) Nanoparticles to Target Cancer Stem-Like Cells
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    Chapter 15 Isolating Circulating Cancer Stem Cells (CCSCs) from Human Whole Blood
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    Chapter 16 Generation of Cancer Stem Cells by Co-Culture Methods
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    Chapter 17 Deep Learning of Cancer Stem Cell Morphology
Attention for Chapter 17: Deep Learning of Cancer Stem Cell Morphology
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
1 Mendeley
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Chapter title
Deep Learning of Cancer Stem Cell Morphology
Chapter number 17
Book title
Cancer Stem Cells
Published in
Methods in molecular biology, January 2024
DOI 10.1007/978-1-0716-3730-2_17
Book ISBNs
978-1-07-163729-6, 978-1-07-163730-2
Authors

Kameda, Hiroyuki, Ishihata, Hiroaki, Sugiyama, Tomoyasu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
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 19 March 2024.
All research outputs
#15,613,971
of 25,517,918 outputs
Outputs from Methods in molecular biology
#4,440
of 14,235 outputs
Outputs of similar age
#144,177
of 342,602 outputs
Outputs of similar age from Methods in molecular biology
#59
of 279 outputs
Altmetric has tracked 25,517,918 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 14,235 research outputs from this source. They receive a mean Attention Score of 3.5. 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 342,602 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 56% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.