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Mendeley readers
| Title |
How can gender be identified from heart rate data? Evaluation using ALLSTAR heart rate variability big data analysis
|
|---|---|
| Published in |
BMC Research Notes, January 2023
|
| DOI | 10.1186/s13104-022-06270-2 |
| Pubmed ID | |
| Authors |
Itaru Kaneko, Junichiro Hayano, Emi Yuda |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Researcher | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 43% |
| Computer Science | 1 | 14% |
| Unknown | 3 | 43% |