The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain
|
|---|---|
| Published in |
Frontiers in Big Data, June 2024
|
| DOI | 10.3389/fdata.2024.1371680 |
| Pubmed ID | |
| Authors |
Alaa Marshan, Anwar Nais Almutairi, Athina Ioannou, David Bell, Asmat Monaghan, Mahir Arzoky |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 33% |
| Professor | 1 | 33% |
| Researcher | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 67% |
| Mathematics | 1 | 33% |