The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, December 2021
|
| DOI | 10.3389/frai.2021.729834 |
| Pubmed ID | |
| Authors |
Yue Wu, Zhichao Liu, Leihong Wu, Minjun Chen, Weida Tong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| Switzerland | 1 | 14% |
| Sweden | 1 | 14% |
| India | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 6% |
| Mathematics | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Linguistics | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 10 | 59% |