↓ Skip to main content

In Silico Methods for Predicting Drug Toxicity

Overview of attention for book
Cover of 'In Silico Methods for Predicting Drug Toxicity'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 QSAR Methods.
  3. Altmetric Badge
    Chapter 2 In Silico 3D Modeling of Binding Activities.
  4. Altmetric Badge
    Chapter 3 Modeling Pharmacokinetics.
  5. Altmetric Badge
    Chapter 4 Modeling ADMET.
  6. Altmetric Badge
    Chapter 5 In Silico Prediction of Chemically Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results.
  7. Altmetric Badge
    Chapter 6 In Silico Methods for Carcinogenicity Assessment.
  8. Altmetric Badge
    Chapter 7 VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines.
  9. Altmetric Badge
    Chapter 8 In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results.
  10. Altmetric Badge
    Chapter 9 In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs.
  11. Altmetric Badge
    Chapter 10 In Silico Models for Acute Systemic Toxicity.
  12. Altmetric Badge
    Chapter 11 In Silico Models for Hepatotoxicity.
  13. Altmetric Badge
    Chapter 12 In Silico Models for Ecotoxicity of Pharmaceuticals.
  14. Altmetric Badge
    Chapter 13 Use of Read-Across Tools.
  15. Altmetric Badge
    Chapter 14 Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity.
  16. Altmetric Badge
    Chapter 15 A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure.
  17. Altmetric Badge
    Chapter 16 In Silico Study of In Vitro GPCR Assays by QSAR Modeling.
  18. Altmetric Badge
    Chapter 17 Taking Advantage of Databases.
  19. Altmetric Badge
    Chapter 18 QSAR Models at the US FDA/NCTR.
  20. Altmetric Badge
    Chapter 19 A Round Trip from Medicinal Chemistry to Predictive Toxicology.
  21. Altmetric Badge
    Chapter 20 The Use of In Silico Models Within a Large Pharmaceutical Company.
  22. Altmetric Badge
    Chapter 21 The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.
Overall attention for this book and its chapters
Altmetric Badge

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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
googleplus
2 Google+ users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
173 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
In Silico Methods for Predicting Drug Toxicity
Published by
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3609-0
ISBNs
978-1-4939-3607-6, 978-1-4939-3609-0
Editors

Emilio Benfenati

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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Bulgaria 1 <1%
Sweden 1 <1%
Unknown 169 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 21%
Researcher 22 13%
Student > Ph. D. Student 22 13%
Student > Bachelor 18 10%
Student > Doctoral Student 9 5%
Other 19 11%
Unknown 46 27%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 39 23%
Chemistry 18 10%
Biochemistry, Genetics and Molecular Biology 14 8%
Agricultural and Biological Sciences 12 7%
Computer Science 9 5%
Other 31 18%
Unknown 50 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 September 2021.
All research outputs
#3,059,290
of 24,226,848 outputs
Outputs from Methods in molecular biology
#588
of 13,632 outputs
Outputs of similar age
#51,927
of 402,562 outputs
Outputs of similar age from Methods in molecular biology
#99
of 1,461 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,632 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 402,562 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 87% 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 particularly well, scoring higher than 93% of its contemporaries.