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Cancer Gene Networks

Overview of attention for book
Cover of 'Cancer Gene Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Cancer Gene Networks.
  3. Altmetric Badge
    Chapter 2 Emerging Methods in Chemoproteomics with Relevance to Drug Discovery.
  4. Altmetric Badge
    Chapter 3 ANXA7-GTPase as Tumor Suppressor: Mechanisms and Therapeutic Opportunities.
  5. Altmetric Badge
    Chapter 4 Experimental and Study Design Considerations for Uncovering Oncometabolites.
  6. Altmetric Badge
    Chapter 5 Targeting Deubiquitinating Enzymes and Autophagy in Cancer.
  7. Altmetric Badge
    Chapter 6 Quantitative Clinical Imaging Methods for Monitoring Intratumoral Evolution.
  8. Altmetric Badge
    Chapter 7 Transcriptome and Proteome Analyses of TNFAIP8 Knockdown Cancer Cells Reveal New Insights into Molecular Determinants of Cell Survival and Tumor Progression.
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    Chapter 8 Network-Oriented Approaches to Anticancer Drug Response.
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    Chapter 9 CRISPR/Cas-Mediated Knockin in Human Pluripotent Stem Cells.
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    Chapter 10 Complete Transcriptome RNA-Seq.
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    Chapter 11 Computational Methods and Correlation of Exon-skipping Events with Splicing, Transcription, and Epigenetic Factors.
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    Chapter 12 Tissue Engineering Platforms to Replicate the Tumor Microenvironment of Multiple Myeloma.
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    Chapter 13 microRNA Target Prediction.
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    Chapter 14 Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
  16. Altmetric Badge
    Chapter 15 Validation of Biomarker Proteins Using Reverse Capture Protein Microarrays.
  17. Altmetric Badge
    Chapter 16 Chemical Synthesis of Activity-Based Diubiquitin Probes.
  18. Altmetric Badge
    Chapter 17 Profiling the Dual Enzymatic Activities of the Serine/Threonine Kinase IRE1α.
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
patent
2 patents
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Cancer Gene Networks
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6539-7
ISBNs
978-1-4939-6537-3, 978-1-4939-6539-7
Editors

Usha Kasid, Robert Clarke

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 6%
Student > Ph. D. Student 2 3%
Other 1 2%
Lecturer 1 2%
Professor 1 2%
Other 2 3%
Unknown 52 83%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 6%
Agricultural and Biological Sciences 2 3%
Chemistry 2 3%
Neuroscience 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 0 0%
Unknown 53 84%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 February 2024.
All research outputs
#1,440,848
of 25,440,205 outputs
Outputs from Methods in molecular biology
#158
of 14,188 outputs
Outputs of similar age
#29,184
of 422,009 outputs
Outputs of similar age from Methods in molecular biology
#18
of 1,088 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,188 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 422,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,088 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.