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X Demographics
Mendeley readers
| Title |
Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study
|
|---|---|
| Published in |
The Lancet Digital Health, April 2023
|
| DOI | 10.1016/s2589-7500(23)00050-x |
| Pubmed ID | |
| Authors |
Siegfried K Wagner, Bart Liefers, Meera Radia, Gongyu Zhang, Robbert Struyven, Livia Faes, Jonathan Than, Shafi Balal, Charlie Hennings, Caroline Kilduff, Pakinee Pooprasert, Sophie Glinton, Meena Arunakirinathan, Periklis Giannakis, Imoro Zeba Braimah, Islam S H Ahmed, Mariam Al-Feky, Hagar Khalid, Daniel Ferraz, Juliana Vieira, Rodrigo Jorge, Shahid Husain, Janette Ravelo, Anne-Marie Hinds, Robert Henderson, Himanshu I Patel, Susan Ostmo, J Peter Campbell, Nikolas Pontikos, Praveen J Patel, Pearse A Keane, Gill Adams, Konstantinos Balaskas |
X Demographics
The data shown below were collected from the profiles of 36 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 States | 8 | 22% |
| United Kingdom | 7 | 19% |
| India | 2 | 6% |
| France | 2 | 6% |
| Paraguay | 1 | 3% |
| Unknown | 16 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 64% |
| Practitioners (doctors, other healthcare professionals) | 7 | 19% |
| Scientists | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Lecturer | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Unspecified | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 21 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 13% |
| Unspecified | 2 | 5% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 23 | 57% |