| 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 159 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 | 148 | 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 | 26 | 16% |
| Unknown | 26 | 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 | 17 | 11% |
| Unknown | 30 | 19% |