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X Demographics
Mendeley readers
| Title |
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA
|
|---|---|
| Published in |
Frontiers in Big Data, February 2022
|
| DOI | 10.3389/fdata.2022.781309 |
| Pubmed ID | |
| Authors |
Kai Fan, Ranil Dhammapala, Kyle Harrington, Ryan Lamastro, Brian Lamb, Yunha Lee |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| Germany | 1 | 14% |
| Switzerland | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Librarian | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 13% |
| Unspecified | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Environmental Science | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 56% |