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X Demographics
Mendeley readers
| Title |
Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study
|
|---|---|
| Published by |
Elsevier, April 2024
|
| DOI | 10.1016/s2589-7500(24)00025-6 |
| Pubmed ID | |
| Authors |
Zeljko Kraljevic, Dan Bean, Anthony Shek, Rebecca Bendayan, Harry Hemingway, Joshua Au Yeung, Alexander Deng, Alfred Baston, Jack Ross, Esther Idowu, James T Teo, Richard J B Dobson |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 26% |
| United States | 4 | 11% |
| Germany | 1 | 3% |
| Singapore | 1 | 3% |
| Italy | 1 | 3% |
| Spain | 1 | 3% |
| Canada | 1 | 3% |
| Thailand | 1 | 3% |
| Unknown | 16 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 54% |
| Practitioners (doctors, other healthcare professionals) | 9 | 26% |
| Scientists | 6 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Professor | 3 | 11% |
| Other | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 14% |
| Computer Science | 4 | 14% |
| Unspecified | 3 | 11% |
| Business, Management and Accounting | 3 | 11% |
| Neuroscience | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 6 | 21% |