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X Demographics
Mendeley readers
| Title |
Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds
|
|---|---|
| Published in |
Electronics, February 2023
|
| DOI | 10.3390/electronics12051165 |
| Authors |
Tarik Alafif, Anas Hadi, Manal Allahyani, Bander Alzahrani, Areej Alhothali, Reem Alotaibi, Ahmed Barnawi |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 3 | 27% |
| United States | 2 | 18% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Unspecified | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 16% |
| Engineering | 2 | 11% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 58% |