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Mendeley readers
Chapter title |
Improving Identification of Difficult Small Classes by Balancing Class Distribution
|
---|---|
Chapter number | 9 |
Book title |
Artificial Intelligence in Medicine
|
Published by |
Springer, Berlin, Heidelberg, July 2001
|
DOI | 10.1007/3-540-48229-6_9 |
Book ISBNs |
978-3-54-042294-5, 978-3-54-048229-1
|
Authors |
Jorma Laurikkala |
Mendeley readers
The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 2 | <1% |
United States | 2 | <1% |
United Kingdom | 2 | <1% |
Indonesia | 1 | <1% |
France | 1 | <1% |
Germany | 1 | <1% |
Australia | 1 | <1% |
Hong Kong | 1 | <1% |
Italy | 1 | <1% |
Other | 4 | 1% |
Unknown | 285 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 61 | 20% |
Student > Ph. D. Student | 60 | 20% |
Researcher | 36 | 12% |
Student > Bachelor | 25 | 8% |
Student > Doctoral Student | 10 | 3% |
Other | 30 | 10% |
Unknown | 79 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 120 | 40% |
Engineering | 46 | 15% |
Mathematics | 7 | 2% |
Agricultural and Biological Sciences | 6 | 2% |
Medicine and Dentistry | 4 | 1% |
Other | 29 | 10% |
Unknown | 89 | 30% |