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X Demographics
Mendeley readers
Title |
Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre
|
---|---|
Published in |
bioRxiv, October 2020
|
DOI | 10.1101/2020.10.22.349563 |
Authors |
Thomas Myles Ashhurst, Felix Marsh-Wakefield, Givanna Haryono Putri, Alanna Gabrielle Spiteri, Diana Shinko, Mark Norman Read, Adrian Lloyd Smith, Nicholas Jonathan Cole King |
X Demographics
The data shown below were collected from the profiles of 70 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 | 17 | 24% |
United Kingdom | 8 | 11% |
Australia | 7 | 10% |
Netherlands | 2 | 3% |
Germany | 2 | 3% |
Mexico | 2 | 3% |
France | 2 | 3% |
Portugal | 1 | 1% |
Sweden | 1 | 1% |
Other | 8 | 11% |
Unknown | 20 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 34 | 49% |
Scientists | 31 | 44% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
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% |