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X Demographics
Mendeley readers
| Title |
Explainable Model Fusion for Customer Journey Mapping
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2022
|
| DOI | 10.3389/frai.2022.824197 |
| Pubmed ID | |
| Authors |
Kotaro Okazaki, Katsumi Inoue |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Master | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Professor | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 24 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 11 | 22% |
| Unspecified | 4 | 8% |
| Arts and Humanities | 2 | 4% |
| Computer Science | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 27 | 54% |