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.
Mendeley readers
Chapter title |
Modelability Criteria: Statistical Characteristics Estimating Feasibility to Build Predictive QSAR Models for a Dataset
|
---|---|
Chapter number | 7 |
Book title |
Practical Aspects of Computational Chemistry III
|
Published by |
Springer, Boston, MA, January 2014
|
DOI | 10.1007/978-1-4899-7445-7_7 |
Book ISBNs |
978-1-4899-7444-0, 978-1-4899-7445-7
|
Authors |
Alexander Golbraikh, Denis Fourches, Alexander Sedykh, Eugene Muratov, Inta Liepina, Alexander Tropsha |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 20% |
Researcher | 3 | 15% |
Professor | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Student > Master | 2 | 10% |
Other | 4 | 20% |
Unknown | 3 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 5 | 25% |
Biochemistry, Genetics and Molecular Biology | 3 | 15% |
Agricultural and Biological Sciences | 3 | 15% |
Engineering | 2 | 10% |
Environmental Science | 1 | 5% |
Other | 2 | 10% |
Unknown | 4 | 20% |