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X Demographics
Mendeley readers
Title |
Ultra-high throughput single-cell RNA sequencing by combinatorial fluidic indexing
|
---|---|
Published in |
bioRxiv, December 2019
|
DOI | 10.1101/2019.12.17.879304 |
Authors |
Paul Datlinger, André F Rendeiro, Thorina Boenke, Thomas Krausgruber, Daniele Barreca, Christoph Bock |
X Demographics
The data shown below were collected from the profiles of 459 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 | 148 | 32% |
United Kingdom | 34 | 7% |
Germany | 31 | 7% |
Australia | 20 | 4% |
Austria | 15 | 3% |
France | 13 | 3% |
Switzerland | 12 | 3% |
Canada | 10 | 2% |
Netherlands | 9 | 2% |
Other | 56 | 12% |
Unknown | 111 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 271 | 59% |
Members of the public | 180 | 39% |
Science communicators (journalists, bloggers, editors) | 5 | 1% |
Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 233 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 57 | 24% |
Researcher | 54 | 23% |
Student > Bachelor | 15 | 6% |
Student > Postgraduate | 14 | 6% |
Student > Master | 14 | 6% |
Other | 23 | 10% |
Unknown | 56 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 71 | 30% |
Agricultural and Biological Sciences | 41 | 18% |
Immunology and Microbiology | 17 | 7% |
Neuroscience | 10 | 4% |
Medicine and Dentistry | 10 | 4% |
Other | 23 | 10% |
Unknown | 61 | 26% |