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Timeline
X Demographics
Mendeley readers
| Title |
Predictive keywords: Using machine learning to explain document characteristics
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2023
|
| DOI | 10.3389/frai.2022.975729 |
| Pubmed ID | |
| Authors |
Aki-Juhani Kyröläinen, Veronika Laippala |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Researcher | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 2 | 22% |
| Arts and Humanities | 1 | 11% |
| Unknown | 6 | 67% |