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Computational Toxicology

Overview of attention for book
Cover of 'Computational Toxicology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 What is Computational Toxicology?
  3. Altmetric Badge
    Chapter 2 Computational toxicology: application in environmental chemicals.
  4. Altmetric Badge
    Chapter 3 Role of computational methods in pharmaceutical sciences.
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    Chapter 4 Best practices in mathematical modeling.
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    Chapter 5 Tools and techniques.
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    Chapter 6 Prediction of physicochemical properties.
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    Chapter 7 Informing mechanistic toxicology with computational molecular models.
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    Chapter 8 Chemical structure representations and applications in computational toxicity.
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    Chapter 9 Accessing and using chemical property databases.
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    Chapter 10 Accessing, using, and creating chemical property databases for computational toxicology modeling.
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    Chapter 11 Molecular dynamics.
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    Chapter 12 Introduction to pharmacokinetics in clinical toxicology.
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    Chapter 13 Modeling of Absorption
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    Chapter 14 Prediction of pharmacokinetic parameters.
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    Chapter 15 Computational Toxicology
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    Chapter 16 Non-compartmental Analysis.
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    Chapter 17 Compartmental modeling in the analysis of biological systems.
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    Chapter 18 Physiologically based pharmacokinetic/toxicokinetic modeling.
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    Chapter 19 Interspecies extrapolation.
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    Chapter 20 Population effects and variability.
  22. Altmetric Badge
    Chapter 21 Mechanism-Based Pharmacodynamic Modeling
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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
3 blogs
twitter
7 X users
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Computational Toxicology
Published by
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-050-2
ISBNs
978-1-62703-049-6, 978-1-62703-050-2
Authors

Reisfeld, Brad, Mayeno, Arthur N.

Editors

Brad Reisfeld, Arthur N. Mayeno

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 22%
Student > Master 6 13%
Researcher 5 11%
Student > Ph. D. Student 4 9%
Lecturer 4 9%
Other 4 9%
Unknown 12 27%
Readers by discipline Count As %
Environmental Science 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Social Sciences 5 11%
Computer Science 4 9%
Engineering 4 9%
Other 9 20%
Unknown 13 29%
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 20 January 2023.
All research outputs
#1,399,586
of 25,079,131 outputs
Outputs from Methods in molecular biology
#153
of 14,102 outputs
Outputs of similar age
#12,290
of 293,449 outputs
Outputs of similar age from Methods in molecular biology
#5
of 335 outputs
Altmetric has tracked 25,079,131 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 14,102 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 293,449 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 95% of its contemporaries.
We're also able to compare this research output to 335 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.