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Timeline
X Demographics
Mendeley readers
| Title |
Variation-Based Distance and Similarity Modeling: A Case Study in World Englishes
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2019
|
| DOI | 10.3389/frai.2019.00023 |
| Pubmed ID | |
| Authors |
Benedikt Szmrecsanyi, Jason Grafmiller, Laura Rosseel |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Germany | 1 | 10% |
| United Kingdom | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
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 > Ph. D. Student | 3 | 33% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 3 | 33% |
| Nursing and Health Professions | 1 | 11% |
| Earth and Planetary Sciences | 1 | 11% |
| Unknown | 4 | 44% |