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X Demographics
Mendeley readers
Title |
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review
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Published in |
The Lancet Digital Health, June 2022
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DOI | 10.1016/s2589-7500(22)00023-1 |
Pubmed ID | |
Authors |
O T Jones, R N Matin, M van der Schaar, K Prathivadi Bhayankaram, C K I Ranmuthu, M S Islam, D Behiyat, R Boscott, N Calanzani, J Emery, H C Williams, F M Walter |
X Demographics
The data shown below were collected from the profiles of 28 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 | 6 | 21% |
United States | 3 | 11% |
Spain | 2 | 7% |
Switzerland | 2 | 7% |
Ukraine | 1 | 4% |
Botswana | 1 | 4% |
India | 1 | 4% |
Singapore | 1 | 4% |
Chile | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 71% |
Scientists | 3 | 11% |
Practitioners (doctors, other healthcare professionals) | 3 | 11% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 179 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 9% |
Researcher | 13 | 7% |
Unspecified | 12 | 7% |
Student > Bachelor | 11 | 6% |
Student > Ph. D. Student | 8 | 4% |
Other | 30 | 17% |
Unknown | 89 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 17% |
Computer Science | 14 | 8% |
Unspecified | 11 | 6% |
Engineering | 6 | 3% |
Biochemistry, Genetics and Molecular Biology | 4 | 2% |
Other | 19 | 11% |
Unknown | 95 | 53% |