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Mendeley readers
Chapter title |
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study
|
---|---|
Chapter number | 23 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Cham, April 2019
|
DOI | 10.1007/978-3-030-14799-0_23 |
Book ISBNs |
978-3-03-014798-3, 978-3-03-014799-0
|
Authors |
C. Duque-Mejía, M. A. Becerra, C. Zapata-Hernández, C. Mejia-Arboleda, A. E. Castro-Ospina, E. Delgado-Trejos, Diego H. Peluffo-Ordóñez, P. Rosero-Montalvo, Javier Revelo-Fuelagán, Duque-Mejía, C., Becerra, M. A., Zapata-Hernández, C., Mejia-Arboleda, C., Castro-Ospina, A. E., Delgado-Trejos, E., Peluffo-Ordóñez, Diego H., Rosero-Montalvo, P., Revelo-Fuelagán, Javier |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Master | 2 | 15% |
Professor > Associate Professor | 1 | 8% |
Unknown | 6 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 23% |
Medicine and Dentistry | 1 | 8% |
Computer Science | 1 | 8% |
Unknown | 8 | 62% |