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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.
  13. Altmetric Badge
    Chapter 12 Tissue Engineering Platforms to Replicate the Tumor Microenvironment of Multiple Myeloma.
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    Chapter 13 microRNA Target Prediction.
  15. Altmetric Badge
    Chapter 14 Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
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    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.
Attention for Chapter 9: CRISPR/Cas-Mediated Knockin in Human Pluripotent Stem Cells.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
2 patents

Citations

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1 Dimensions

Readers on

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49 Mendeley
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Chapter title
CRISPR/Cas-Mediated Knockin in Human Pluripotent Stem Cells.
Chapter number 9
Book title
Cancer Gene Networks
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6539-7_9
Pubmed ID
Book ISBNs
978-1-4939-6537-3, 978-1-4939-6539-7
Authors

Nipun Verma, Zengrong Zhu, Danwei Huangfu, Verma, Nipun, Zhu, Zengrong, Huangfu, Danwei

Editors

Usha Kasid, Robert Clarke

Abstract

Fluorescent reporter and epitope-tagged human pluripotent stem cells (hPSCs) greatly facilitate studies on the pluripotency and differentiation characteristics of these cells. Unfortunately traditional procedures to generate such lines are hampered by a low targeting efficiency that necessitates a lengthy process of selection followed by the removal of the selection cassette. Here we describe a procedure to generate fluorescent reporter and epitope tagged hPSCs in an efficient one-step process using the CRISPR/Cas technology. Although the method described uses our recently developed iCRISPR platform, the protocols can be adapted for general use with CRISPR/Cas or other engineered nucleases. The transfection procedures described could also be used for additional applications, such as overexpression or lineage tracing studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 20%
Researcher 8 16%
Student > Ph. D. Student 6 12%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 12 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 31%
Agricultural and Biological Sciences 7 14%
Engineering 4 8%
Neuroscience 3 6%
Immunology and Microbiology 2 4%
Other 7 14%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 January 2024.
All research outputs
#5,465,814
of 25,440,205 outputs
Outputs from Methods in molecular biology
#1,565
of 14,188 outputs
Outputs of similar age
#100,308
of 422,009 outputs
Outputs of similar age from Methods in molecular biology
#174
of 1,088 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 well, scoring higher than 88% 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 well, scoring higher than 75% 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 well, scoring higher than 83% of its contemporaries.