Title |
Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases
|
---|---|
Published in |
PLoS Computational Biology, May 2011
|
DOI | 10.1371/journal.pcbi.1002053 |
Pubmed ID | |
Authors |
Frank Emmert-Streib, Galina V. Glazko |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 10 | 3% |
United States | 6 | 2% |
Spain | 3 | <1% |
France | 2 | <1% |
Russia | 2 | <1% |
Belgium | 2 | <1% |
Hong Kong | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Other | 13 | 4% |
Unknown | 264 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 95 | 31% |
Student > Ph. D. Student | 85 | 28% |
Student > Master | 29 | 10% |
Professor > Associate Professor | 26 | 9% |
Student > Bachelor | 11 | 4% |
Other | 37 | 12% |
Unknown | 22 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 160 | 52% |
Biochemistry, Genetics and Molecular Biology | 38 | 12% |
Computer Science | 27 | 9% |
Medicine and Dentistry | 17 | 6% |
Mathematics | 10 | 3% |
Other | 21 | 7% |
Unknown | 32 | 10% |