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X Demographics
Mendeley readers
Title |
Establishing a standard method for analysing case detection delay in leprosy using a Bayesian modelling approach
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Published in |
Infectious Diseases of Poverty, February 2023
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DOI | 10.1186/s40249-023-01065-4 |
Pubmed ID | |
Authors |
Thomas Hambridge, Luc E. Coffeng, Sake J. de Vlas, Jan Hendrik Richardus |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 50% |
India | 1 | 25% |
China | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 15% |
Professor > Associate Professor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 8 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 23% |
Business, Management and Accounting | 1 | 8% |
Unknown | 9 | 69% |