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Mendeley readers
| Title |
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2020
|
| DOI | 10.1186/s12911-020-1044-0 |
| Pubmed ID | |
| Authors |
Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 19 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 32% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 23 | 41% |