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 |
Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection
|
---|---|
Chapter number | 24 |
Book title |
Computational Science – ICCS 2018
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93701-4_24 |
Book ISBNs |
978-3-31-993700-7, 978-3-31-993701-4
|
Authors |
Christian Gomes, Alan Cardoso, Thiago Silveira, Diego Dias, Elisa Tuler, Renato Ferreira, Leonardo Rocha, Gomes, Christian, Cardoso, Alan, Silveira, Thiago, Dias, Diego, Tuler, Elisa, Ferreira, Renato, Rocha, Leonardo |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 25% |
Student > Master | 2 | 25% |
Student > Bachelor | 2 | 25% |
Professor > Associate Professor | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 38% |
Engineering | 3 | 38% |
Medicine and Dentistry | 1 | 13% |
Unknown | 1 | 13% |