Title |
Eleven grand challenges in single-cell data science
|
---|---|
Published in |
Genome Biology, February 2020
|
DOI | 10.1186/s13059-020-1926-6 |
Pubmed ID | |
Authors |
David Lähnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Kieran R. Campbell, Niko Beerenwinkel, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P.F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Alicja Rączkowska, Marcel Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 134 | 28% |
United Kingdom | 38 | 8% |
Australia | 32 | 7% |
Germany | 20 | 4% |
Spain | 11 | 2% |
France | 10 | 2% |
India | 8 | 2% |
Canada | 8 | 2% |
Netherlands | 8 | 2% |
Other | 60 | 13% |
Unknown | 146 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 274 | 58% |
Members of the public | 189 | 40% |
Science communicators (journalists, bloggers, editors) | 6 | 1% |
Practitioners (doctors, other healthcare professionals) | 6 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1559 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 344 | 22% |
Researcher | 235 | 15% |
Student > Master | 156 | 10% |
Student > Bachelor | 121 | 8% |
Student > Doctoral Student | 58 | 4% |
Other | 184 | 12% |
Unknown | 461 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 422 | 27% |
Agricultural and Biological Sciences | 188 | 12% |
Computer Science | 107 | 7% |
Medicine and Dentistry | 67 | 4% |
Engineering | 52 | 3% |
Other | 215 | 14% |
Unknown | 508 | 33% |