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X Demographics
Mendeley readers
| Title |
IMU Sensing–Based Hopfield Neuromorphic Computing for Human Activity Recognition
|
|---|---|
| Published in |
Frontiers in Communications and Networks, January 2022
|
| DOI | 10.3389/frcmn.2021.820248 |
| Authors |
Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 11% |
| Physics and Astronomy | 1 | 11% |
| Chemistry | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 5 | 56% |