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
| Title |
Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition
|
|---|---|
| Published in |
Frontiers in Medicine, November 2021
|
| DOI | 10.3389/fmed.2021.714811 |
| Pubmed ID | |
| Authors |
Rizwana Zulfiqar, Fiaz Majeed, Rizwana Irfan, Hafiz Tayyab Rauf, Elhadj Benkhelifa, Abdelkader Nasreddine Belkacem |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 7 | 18% |
| Student > Bachelor | 6 | 15% |
| Researcher | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 18% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Mathematics | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 18 | 45% |