Title |
Octopi: Open configurable high-throughput imaging platform for infectious disease diagnosis in the field
|
---|---|
Published in |
bioRxiv, June 2019
|
DOI | 10.1101/684423 |
Authors |
Hongquan Li, Hazel Soto-Montoya, Maxime Voisin, Lucas Fuentes Valenzuela, Manu Prakash |
X Demographics
The data shown below were collected from the profiles of 813 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 | 213 | 26% |
India | 86 | 11% |
United Kingdom | 57 | 7% |
Germany | 24 | 3% |
Canada | 19 | 2% |
France | 15 | 2% |
Switzerland | 10 | 1% |
Australia | 9 | 1% |
Spain | 8 | <1% |
Other | 86 | 11% |
Unknown | 286 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 489 | 60% |
Scientists | 288 | 35% |
Practitioners (doctors, other healthcare professionals) | 20 | 2% |
Science communicators (journalists, bloggers, editors) | 16 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 23% |
Researcher | 15 | 16% |
Student > Bachelor | 10 | 11% |
Student > Master | 8 | 9% |
Professor > Associate Professor | 6 | 6% |
Other | 10 | 11% |
Unknown | 23 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 21 | 22% |
Agricultural and Biological Sciences | 13 | 14% |
Physics and Astronomy | 11 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Computer Science | 4 | 4% |
Other | 13 | 14% |
Unknown | 25 | 27% |