Title |
Inferring Pathway Activity toward Precise Disease Classification
|
---|---|
Published in |
PLoS Computational Biology, November 2008
|
DOI | 10.1371/journal.pcbi.1000217 |
Pubmed ID | |
Authors |
Eunjung Lee, Han-Yu Chuang, Jong-Won Kim, Trey Ideker, Doheon Lee |
Mendeley readers
The data shown below were compiled from readership statistics for 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 4% |
United Kingdom | 4 | <1% |
Netherlands | 3 | <1% |
Germany | 2 | <1% |
Canada | 2 | <1% |
Russia | 2 | <1% |
Korea, Republic of | 2 | <1% |
Slovenia | 2 | <1% |
Mexico | 2 | <1% |
Other | 10 | 2% |
Unknown | 360 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 115 | 28% |
Student > Ph. D. Student | 99 | 24% |
Student > Master | 28 | 7% |
Professor > Associate Professor | 26 | 6% |
Student > Bachelor | 17 | 4% |
Other | 66 | 16% |
Unknown | 55 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 130 | 32% |
Computer Science | 76 | 19% |
Biochemistry, Genetics and Molecular Biology | 58 | 14% |
Medicine and Dentistry | 22 | 5% |
Mathematics | 14 | 3% |
Other | 41 | 10% |
Unknown | 65 | 16% |