| Title |
A Bag of Wavelet Features for Snore Sound Classification
|
|---|---|
| Published in |
Annals of Biomedical Engineering, January 2019
|
| DOI | 10.1007/s10439-019-02217-0 |
| Pubmed ID | |
| Authors |
Kun Qian, Maximilian Schmitt, Christoph Janott, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn Schuller |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Master | 2 | 5% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 20 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 11% |
| Nursing and Health Professions | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Psychology | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 19 | 50% |