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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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| Title |
Trustworthy intelligent industrial monitoring architecture for early event detection by exploiting social IoT
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), March 2020
|
| DOI | 10.1145/3341105.3373996 |
| Authors |
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X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 11% |
| Student > Master | 4 | 11% |
| Researcher | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 20 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 23% |
| Engineering | 5 | 14% |
| Psychology | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 20 | 57% |