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Timeline
X Demographics
Mendeley readers
Title |
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients
|
---|---|
Published in |
Frontiers in Artificial Intelligence, December 2021
|
DOI | 10.3389/frai.2021.742723 |
Pubmed ID | |
Authors |
Ramya Vunikili, Benjamin S. Glicksberg, Kipp W. Johnson, Joel T. Dudley, Lakshminarayanan Subramanian, Khader Shameer |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 11% |
Researcher | 3 | 8% |
Lecturer | 2 | 6% |
Student > Master | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 8% |
Unknown | 20 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 22% |
Psychology | 2 | 6% |
Unspecified | 1 | 3% |
Social Sciences | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 22 | 61% |