| Title |
Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre
|
|---|---|
| Published in |
bioRxiv
|
| DOI | 10.1101/2020.10.22.349563 |
| Authors |
Ashhurst, Thomas Myles, Marsh-Wakefield, Felix, Putri, Givanna Haryono, Spiteri, Alanna Gabrielle, Shinko, Diana, Read, Mark Norman, Smith, Adrian Lloyd, King, Nicholas Jonathan Cole |
| Country | Count | As % |
|---|---|---|
| United States | 19 | 26% |
| Australia | 10 | 14% |
| United Kingdom | 7 | 10% |
| Mexico | 2 | 3% |
| Germany | 2 | 3% |
| France | 2 | 3% |
| Netherlands | 1 | 1% |
| Indonesia | 1 | 1% |
| Norway | 1 | 1% |
| Other | 8 | 11% |
| Unknown | 19 | 26% |
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 51% |
| Scientists | 31 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 32% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Other | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 5 | 23% |
| Medicine and Dentistry | 3 | 14% |
| Computer Science | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Mathematics | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |