Title |
SCHEEPDOG: programming electric cues to dynamically herd large-scale cell migration
|
---|---|
Published in |
bioRxiv, December 2019
|
DOI | 10.1101/2019.12.20.884510 |
Authors |
Tom J. Zajdel, Gawoon Shim, Linus Wang, Alejandro Rossello-Martinez, Daniel J. Cohen |
X Demographics
The data shown below were collected from the profiles of 229 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 | 70 | 31% |
United Kingdom | 19 | 8% |
France | 15 | 7% |
Germany | 13 | 6% |
Australia | 6 | 3% |
Spain | 5 | 2% |
Canada | 4 | 2% |
India | 4 | 2% |
Brazil | 3 | 1% |
Other | 25 | 11% |
Unknown | 65 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 122 | 53% |
Scientists | 101 | 44% |
Science communicators (journalists, bloggers, editors) | 4 | 2% |
Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 16% |
Student > Bachelor | 2 | 11% |
Researcher | 2 | 11% |
Professor | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Physics and Astronomy | 2 | 11% |
Engineering | 2 | 11% |
Agricultural and Biological Sciences | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 10 | 53% |