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Timeline
X Demographics
Mendeley readers
Title |
Toward a Knowledge-Based System for African Traditional Herbal Medicine: A Design Science Research Approach
|
---|---|
Published in |
Frontiers in Artificial Intelligence, March 2022
|
DOI | 10.3389/frai.2022.856705 |
Pubmed ID | |
Authors |
Samuel Nii Odoi Devine, Emmanuel Awuni Kolog, Roger Atinga |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 14% |
Student > Master | 4 | 11% |
Researcher | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Librarian | 2 | 5% |
Other | 7 | 19% |
Unknown | 13 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 4 | 11% |
Social Sciences | 4 | 11% |
Computer Science | 3 | 8% |
Business, Management and Accounting | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 9 | 24% |
Unknown | 13 | 35% |