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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 461 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 | 149 | 32% |
| United Kingdom | 36 | 8% |
| Germany | 32 | 7% |
| Australia | 20 | 4% |
| Austria | 15 | 3% |
| France | 13 | 3% |
| Switzerland | 12 | 3% |
| Canada | 11 | 2% |
| Netherlands | 9 | 2% |
| Other | 54 | 12% |
| Unknown | 110 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 272 | 59% |
| Members of the public | 181 | 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 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 236 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 24% |
| Researcher | 56 | 24% |
| Student > Postgraduate | 15 | 6% |
| Student > Bachelor | 15 | 6% |
| Student > Master | 14 | 6% |
| Other | 23 | 10% |
| Unknown | 56 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 72 | 31% |
| Agricultural and Biological Sciences | 43 | 18% |
| Immunology and Microbiology | 17 | 7% |
| Neuroscience | 10 | 4% |
| Medicine and Dentistry | 10 | 4% |
| Other | 23 | 10% |
| Unknown | 61 | 26% |