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Timeline
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 11% |
Student > Bachelor | 4 | 11% |
Other | 3 | 9% |
Researcher | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Other | 7 | 20% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 17% |
Engineering | 4 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 6 | 17% |
Unknown | 13 | 37% |