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Mendeley readers
Chapter title |
DIA-DB: A Web-Accessible Database for the Prediction of Diabetes Drugs
|
---|---|
Chapter number | 63 |
Book title |
Bioinformatics and Biomedical Engineering
|
Published in |
Lecture notes in computer science, January 2015
|
DOI | 10.1007/978-3-319-16480-9_63 |
Book ISBNs |
978-3-31-916479-3, 978-3-31-916480-9
|
Authors |
Antonia Sánchez-Pérez, Andrés Muñoz, Jorge Peña-García, Helena den-Haan, Nick Bekas, Antigoni Katsikoudi, Andreas G. Tzakos, Horacio Péréz-Sánchez |
Editors |
Francisco Ortuño, Ignacio Rojas |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 23% |
Student > Ph. D. Student | 5 | 17% |
Professor > Associate Professor | 3 | 10% |
Researcher | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Other | 6 | 20% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 10 | 33% |
Computer Science | 5 | 17% |
Agricultural and Biological Sciences | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
Medicine and Dentistry | 2 | 7% |
Other | 4 | 13% |
Unknown | 5 | 17% |