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X Demographics
Mendeley readers
| Title |
Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2023
|
| DOI | 10.3389/frai.2023.1230087 |
| Pubmed ID | |
| Authors |
Tshepang Duncan Morapedi, Ibidun Christiana Obagbuwa |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 16% |
| Student > Ph. D. Student | 5 | 16% |
| Professor > Associate Professor | 2 | 6% |
| Researcher | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 18 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 5 | 16% |
| Engineering | 2 | 6% |
| Computer Science | 2 | 6% |
| Environmental Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 18 | 56% |