Title |
Computational Biology in Brazil
|
---|---|
Published in |
PLoS Computational Biology, October 2007
|
DOI | 10.1371/journal.pcbi.0030185 |
Pubmed ID | |
Authors |
Goran Neshich |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 5 | 12% |
United States | 2 | 5% |
Germany | 1 | 2% |
Chile | 1 | 2% |
Portugal | 1 | 2% |
Unknown | 32 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 21% |
Student > Master | 8 | 19% |
Researcher | 6 | 14% |
Student > Bachelor | 5 | 12% |
Student > Doctoral Student | 3 | 7% |
Other | 7 | 17% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 50% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Computer Science | 3 | 7% |
Engineering | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 5 | 12% |
Unknown | 6 | 14% |