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X Demographics
Mendeley readers
Title |
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA
|
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Published in |
Frontiers in Big Data, February 2022
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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Librarian | 1 | 7% |
Student > Master | 1 | 7% |
Researcher | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 13% |
Business, Management and Accounting | 1 | 7% |
Environmental Science | 1 | 7% |
Psychology | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 60% |