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X Demographics
Mendeley readers
Title |
Protocol for an automated, pragmatic, embedded, adaptive randomised controlled trial: behavioural economics-informed mobile phone-based reminder messages to improve clinic attendance in a Botswanan school-based vision screening programme
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Published in |
Trials, August 2022
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DOI | 10.1186/s13063-022-06519-y |
Pubmed ID | |
Authors |
Luke N Allen, Bakgaki Ratshaa, David Macleod, Nigel Bolster, Matthew Burton, Min Kim, Andrew Bastawrous, Ari Ho-Foster, Hannah Chroston, Oathokwa Nkomazana |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 13% |
Other | 2 | 9% |
Unspecified | 1 | 4% |
Librarian | 1 | 4% |
Researcher | 1 | 4% |
Other | 1 | 4% |
Unknown | 14 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 9% |
Unspecified | 1 | 4% |
Environmental Science | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Other | 2 | 9% |
Unknown | 15 | 65% |