Title |
Prediction of Cell Penetrating Peptides by Support Vector Machines
|
---|---|
Published in |
PLoS Computational Biology, July 2011
|
DOI | 10.1371/journal.pcbi.1002101 |
Pubmed ID | |
Authors |
William S. Sanders, C. Ian Johnston, Susan M. Bridges, Shane C. Burgess, Kenneth O. Willeford |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 1% |
United States | 2 | 1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Italy | 1 | <1% |
Argentina | 1 | <1% |
Mexico | 1 | <1% |
Japan | 1 | <1% |
China | 1 | <1% |
Other | 0 | 0% |
Unknown | 149 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 23% |
Researcher | 32 | 20% |
Student > Master | 18 | 11% |
Student > Bachelor | 12 | 8% |
Professor > Associate Professor | 9 | 6% |
Other | 28 | 18% |
Unknown | 25 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 48 | 30% |
Chemistry | 21 | 13% |
Biochemistry, Genetics and Molecular Biology | 20 | 13% |
Computer Science | 18 | 11% |
Engineering | 5 | 3% |
Other | 19 | 12% |
Unknown | 29 | 18% |