Title |
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning
|
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Published in |
Malaria Journal, April 2022
|
DOI | 10.1186/s12936-022-04146-1 |
Pubmed ID | |
Authors |
Debashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, Ketsanee Srinamon, Kalynn Kennon, Kasia Stepniewska, Aniruddha Ghose, Abdullah Abu Sayeed, M. Abul Faiz, Rebeca Linhares Abreu Netto, Andre Siqueira, Serge R. Yerbanga, Jean Bosco Ouédraogo, James J. Callery, Thomas J. Peto, Rupam Tripura, Felix Koukouikila-Koussounda, Francine Ntoumi, John Michael Ong’echa, Bernhards Ogutu, Prakash Ghimire, Jutta Marfurt, Benedikt Ley, Amadou Seck, Magatte Ndiaye, Bhavani Moodley, Lisa Ming Sun, Laypaw Archasuksan, Stephane Proux, Sam L. Nsobya, Philip J. Rosenthal, Matthew P. Horning, Shawn K. McGuire, Courosh Mehanian, Stephen Burkot, Charles B. Delahunt, Christine Bachman, Ric N. Price, Arjen M. Dondorp, François Chappuis, Philippe J. Guérin, Mehul Dhorda |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 13% |
Tanzania, United Republic of | 1 | 7% |
Switzerland | 1 | 7% |
United Kingdom | 1 | 7% |
Unknown | 10 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 73% |
Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 10% |
Lecturer | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 3 | 6% |
Student > Ph. D. Student | 2 | 4% |
Other | 3 | 6% |
Unknown | 31 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 10% |
Computer Science | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Medicine and Dentistry | 3 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 2 | 4% |
Unknown | 32 | 63% |