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X Demographics
Mendeley readers
| Title |
Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2022
|
| DOI | 10.3389/frai.2022.848056 |
| Pubmed ID | |
| Authors |
Romena Yasmin, Mahmudulla Hassan, Joshua T. Grassel, Harika Bhogaraju, Adolfo R. Escobedo, Olac Fuentes |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Student > Postgraduate | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 33% |
| Computer Science | 1 | 17% |
| Economics, Econometrics and Finance | 1 | 17% |
| Unknown | 2 | 33% |