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
|
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Published in |
Frontiers in Big Data, June 2024
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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% |