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Mendeley readers
| Chapter title |
Taking Advantage of Databases.
|
|---|---|
| Chapter number | 17 |
| 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_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
| Authors |
Glenn J. Myatt, Donald P. Quigley |
| Editors |
Emilio Benfenati |
| Abstract |
Toxicity databases are a useful resource to support hazard and risk assessment. They are used to retrieve historical studies for compounds of interest and to support toxicity predictions where no data exists. Toxicity predictions are either based upon study results from similar chemicals or prediction models built from these databases. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 60% |
| Student > Bachelor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Chemistry | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 1 | 20% |