Title |
CAVER 3.0: A Tool for the Analysis of Transport Pathways in Dynamic Protein Structures
|
---|---|
Published in |
PLoS Computational Biology, October 2012
|
DOI | 10.1371/journal.pcbi.1002708 |
Pubmed ID | |
Authors |
Eva Chovancova, Antonin Pavelka, Petr Benes, Ondrej Strnad, Jan Brezovsky, Barbora Kozlikova, Artur Gora, Vilem Sustr, Martin Klvana, Petr Medek, Lada Biedermannova, Jiri Sochor, Jiri Damborsky |
X Demographics
The data shown below were collected from the profiles of 34 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 | 9 | 26% |
France | 4 | 12% |
Netherlands | 1 | 3% |
China | 1 | 3% |
Chile | 1 | 3% |
Belgium | 1 | 3% |
Mexico | 1 | 3% |
Unknown | 16 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 59% |
Scientists | 13 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 677 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 1% |
Germany | 6 | <1% |
Czechia | 4 | <1% |
United Kingdom | 3 | <1% |
France | 1 | <1% |
Vietnam | 1 | <1% |
Portugal | 1 | <1% |
Canada | 1 | <1% |
Brazil | 1 | <1% |
Other | 4 | <1% |
Unknown | 646 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 175 | 26% |
Researcher | 114 | 17% |
Student > Master | 77 | 11% |
Student > Bachelor | 55 | 8% |
Student > Doctoral Student | 34 | 5% |
Other | 80 | 12% |
Unknown | 142 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 172 | 25% |
Agricultural and Biological Sciences | 141 | 21% |
Chemistry | 116 | 17% |
Computer Science | 19 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 14 | 2% |
Other | 62 | 9% |
Unknown | 153 | 23% |