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Mendeley readers
Chapter title |
In Silico Models for Acute Systemic Toxicity.
|
---|---|
Chapter number | 10 |
Book title |
In Silico Methods for Predicting Drug Toxicity
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3609-0_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
Authors |
Julien Burton, Andrew P. Worth, Ivanka Tsakovska, Antonia Diukendjieva |
Editors |
Emilio Benfenati |
Abstract |
In this chapter, we give an overview of the regulatory requirements for acute systemic toxicity information in the European Union, and we review the availability of structure-based computational models that are available and potentially useful in the assessment of acute systemic toxicity. The most recently published literature models for acute systemic toxicity are also discussed, and perspectives for future developments in this field are offered. |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 28% |
Student > Bachelor | 4 | 22% |
Student > Ph. D. Student | 3 | 17% |
Other | 2 | 11% |
Student > Master | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 17% |
Chemistry | 3 | 17% |
Environmental Science | 2 | 11% |
Agricultural and Biological Sciences | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Other | 1 | 6% |
Unknown | 5 | 28% |