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Mendeley readers
Chapter title |
MIDA: Multiple Imputation Using Denoising Autoencoders
|
---|---|
Chapter number | 21 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93040-4_21 |
Book ISBNs |
978-3-31-993039-8, 978-3-31-993040-4
|
Authors |
Lovedeep Gondara, Ke Wang, Gondara, Lovedeep, Wang, Ke |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 186 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 17% |
Researcher | 29 | 16% |
Student > Master | 18 | 10% |
Student > Bachelor | 17 | 9% |
Student > Doctoral Student | 7 | 4% |
Other | 19 | 10% |
Unknown | 64 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 57 | 31% |
Engineering | 24 | 13% |
Mathematics | 7 | 4% |
Biochemistry, Genetics and Molecular Biology | 5 | 3% |
Medicine and Dentistry | 4 | 2% |
Other | 20 | 11% |
Unknown | 69 | 37% |