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High-Throughput Screening Assays in Toxicology

Overview of attention for book
Cover of 'High-Throughput Screening Assays in Toxicology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Monitoring Ligand-Activated Protein–Protein Interactions Using Bioluminescent Resonance Energy Transfer (BRET) Assay
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    Chapter 2 Mitochondrial Membrane Potential Assay
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    Chapter 3 High-Throughput Screening Assays in Toxicology
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    Chapter 4 Quantitative High-Throughput Luciferase Screening in Identifying CAR Modulators
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    Chapter 5 Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity
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    Chapter 6 Cell-Based Assay for Identifying the Modulators of Antioxidant Response Element Signaling Pathway
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    Chapter 7 Study Liver Cytochrome P450 3A4 Inhibition and Hepatotoxicity Using DMSO-Differentiated HuH-7 Cells
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    Chapter 8 Determination of Histone H2AX Phosphorylation in DT40 Cells
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    Chapter 9 High-Throughput and High-Content Micronucleus Assay in CHO-K1 Cells
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    Chapter 10 High-Throughput Screening Assays in Toxicology
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    Chapter 11 High-Throughput Screening Assays in Toxicology
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    Chapter 12 A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling
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    Chapter 13 Correction of Microplate Data from High-Throughput Screening
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    Chapter 14 CurveP Method for Rendering High-Throughput Screening Dose-Response Data into Digital Fingerprints
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    Chapter 15 Accounting Artifacts in High-Throughput Toxicity Assays
  17. Altmetric Badge
    Chapter 16 Accessing the High-Throughput Screening Data Landscape
  18. Altmetric Badge
    Chapter 17 Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship Modeling
Attention for Chapter 9: High-Throughput and High-Content Micronucleus Assay in CHO-K1 Cells
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Chapter title
High-Throughput and High-Content Micronucleus Assay in CHO-K1 Cells
Chapter number 9
Book title
High-Throughput Screening Assays in Toxicology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6346-1_9
Pubmed ID
Book ISBNs
978-1-4939-6344-7, 978-1-4939-6346-1
Authors

Sampada A. Shahane, Kana Nishihara, Menghang Xia, Shahane, Sampada A., Nishihara, Kana, Xia, Menghang

Abstract

Visualization of micronuclei induction by chemicals and drugs enables measurement of possible compound genotoxicity. A loss of entire chromosome or a fragment of chromosome can lead to formation of micronuclei (MNi). The in vitro micronucleus assay can be conducted using nuclear dyes with high-content imaging platforms. This chapter describes the cytochalasin block method of measuring micronuclei in CHO-K1 cell lines.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 25%
Researcher 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Agricultural and Biological Sciences 1 13%
Medicine and Dentistry 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 October 2023.
All research outputs
#7,069,986
of 24,585,148 outputs
Outputs from Methods in molecular biology
#2,120
of 13,822 outputs
Outputs of similar age
#107,657
of 403,927 outputs
Outputs of similar age from Methods in molecular biology
#240
of 1,461 outputs
Altmetric has tracked 24,585,148 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,822 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 403,927 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 72% of its contemporaries.
We're also able to compare this research output to 1,461 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.