| Title |
Computational Prediction and Experimental Verification of New MAP Kinase Docking Sites and Substrates Including Gli Transcription Factors
|
|---|---|
| Published in |
PLoS Computational Biology, August 2010
|
| DOI | 10.1371/journal.pcbi.1000908 |
| Pubmed ID | |
| Authors |
Thomas C. Whisenant, David T. Ho, Ryan W. Benz, Jeffrey S. Rogers, Robyn M. Kaake, Elizabeth A. Gordon, Lan Huang, Pierre Baldi, Lee Bardwell |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Argentina | 1 | 1% |
| Hungary | 1 | 1% |
| Russia | 1 | 1% |
| China | 1 | 1% |
| Unknown | 80 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 31% |
| Researcher | 12 | 14% |
| Student > Bachelor | 9 | 10% |
| Professor > Associate Professor | 7 | 8% |
| Student > Master | 7 | 8% |
| Other | 20 | 23% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 50% |
| Biochemistry, Genetics and Molecular Biology | 16 | 18% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 3 | 3% |
| Physics and Astronomy | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 8 | 9% |