You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2021
|
| DOI | 10.3389/frai.2021.659622 |
| Pubmed ID | |
| Authors |
Xingqiao Wang, Xiaowei Xu, Weida Tong, Ruth Roberts, Zhichao Liu |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 10% |
| France | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Ph. D. Student | 9 | 16% |
| Other | 4 | 7% |
| Researcher | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 24% |
| Engineering | 5 | 9% |
| Medicine and Dentistry | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 21 | 38% |