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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.
  5. Altmetric Badge
    Chapter 4 Best practices in mathematical modeling.
  6. Altmetric Badge
    Chapter 5 Tools and techniques.
  7. Altmetric Badge
    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.
  21. Altmetric Badge
    Chapter 20 Population effects and variability.
  22. Altmetric Badge
    Chapter 21 Mechanism-Based Pharmacodynamic Modeling
Attention for Chapter 4: Best practices in mathematical modeling.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users

Citations

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21 Dimensions

Readers on

mendeley
9 Mendeley
citeulike
1 CiteULike
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Chapter title
Best practices in mathematical modeling.
Chapter number 4
Book title
Computational Toxicology
Published in
Methods in molecular biology, August 2012
DOI 10.1007/978-1-62703-050-2_4
Pubmed ID
Book ISBNs
978-1-62703-049-6, 978-1-62703-050-2
Authors

Lisette G. de Pillis, Ami E. Radunskaya

Editors

Brad Reisfeld, Arthur N. Mayeno

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Professor > Associate Professor 2 22%
Other 1 11%
Professor 1 11%
Lecturer 1 11%
Other 2 22%
Readers by discipline Count As %
Engineering 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Chemical Engineering 1 11%
Agricultural and Biological Sciences 1 11%
Other 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 July 2018.
All research outputs
#15,385,802
of 22,890,496 outputs
Outputs from Methods in molecular biology
#5,353
of 13,133 outputs
Outputs of similar age
#107,695
of 169,426 outputs
Outputs of similar age from Methods in molecular biology
#24
of 70 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 169,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.