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Timeline
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 5 | 15% |
Student > Ph. D. Student | 5 | 15% |
Professor > Associate Professor | 3 | 9% |
Researcher | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Other | 0 | 0% |
Unknown | 18 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 5 | 15% |
Engineering | 2 | 6% |
Computer Science | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Linguistics | 1 | 3% |
Other | 4 | 12% |
Unknown | 18 | 55% |