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Timeline
X Demographics
Mendeley readers
Title |
DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction
|
---|---|
Published in |
Frontiers in Artificial Intelligence, August 2021
|
DOI | 10.3389/frai.2021.711467 |
Pubmed ID | |
Authors |
Arjun Bhatt, Ruth Roberts, Xi Chen, Ting Li, Skylar Connor, Qais Hatim, Mike Mikailov, Weida Tong, Zhichao Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
Switzerland | 1 | 20% |
Egypt | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 11% |
Student > Bachelor | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Researcher | 2 | 7% |
Student > Ph. D. Student | 1 | 4% |
Other | 3 | 11% |
Unknown | 14 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 11% |
Business, Management and Accounting | 2 | 7% |
Engineering | 2 | 7% |
Mathematics | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 3 | 11% |
Unknown | 15 | 56% |