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X Demographics
Mendeley readers
| Title |
An Interpretable Predictive Model of Vaccine Utilization for Tanzania
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2020
|
| DOI | 10.3389/frai.2020.559617 |
| Pubmed ID | |
| Authors |
Ramkumar Hariharan, Johnna Sundberg, Giacomo Gallino, Ashley Schmidt, Drew Arenth, Suvrit Sra, Benjamin Fels |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 12% |
| Researcher | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Professor | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 18% |
| Engineering | 4 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Social Sciences | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 39% |