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Timeline
X Demographics
Mendeley readers
Title |
DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox
|
---|---|
Published in |
Frontiers in Artificial Intelligence, December 2022
|
DOI | 10.3389/frai.2022.999289 |
Pubmed ID | |
Authors |
Xingqiao Wang, Xiaowei Xu, Weida Tong, Qi Liu, Zhichao Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 18% |
Unspecified | 1 | 9% |
Other | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 2 | 18% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 18% |
Business, Management and Accounting | 2 | 18% |
Unspecified | 1 | 9% |
Mathematics | 1 | 9% |
Computer Science | 1 | 9% |
Other | 1 | 9% |
Unknown | 3 | 27% |