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Mendeley readers
Chapter title |
AutoWeka: Toward an Automated Data Mining Software for QSAR and QSPR Studies
|
---|---|
Chapter number | 8 |
Book title |
Artificial Neural Networks
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-2239-0_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2238-3, 978-1-4939-2239-0
|
Authors |
Chanin Nantasenamat, Apilak Worachartcheewan, Saksiri Jamsak, Likit Preeyanon, Watshara Shoombuatong, Saw Simeon, Prasit Mandi, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
United Kingdom | 1 | 2% |
Germany | 1 | 2% |
Italy | 1 | 2% |
Unknown | 61 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 20% |
Student > Ph. D. Student | 10 | 15% |
Researcher | 8 | 12% |
Student > Bachelor | 5 | 8% |
Student > Doctoral Student | 4 | 6% |
Other | 14 | 21% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 18% |
Engineering | 7 | 11% |
Biochemistry, Genetics and Molecular Biology | 5 | 8% |
Medicine and Dentistry | 5 | 8% |
Physics and Astronomy | 4 | 6% |
Other | 14 | 21% |
Unknown | 19 | 29% |