| Title |
GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0017259 |
| Pubmed ID | |
| Authors |
John Patrick Mpindi, Henri Sara, Saija Haapa-Paananen, Sami Kilpinen, Tommi Pisto, Elmar Bucher, Kalle Ojala, Kristiina Iljin, Paula Vainio, Mari Björkman, Santosh Gupta, Pekka Kohonen, Matthias Nees, Olli Kallioniemi |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 3% |
| United States | 2 | 3% |
| Finland | 1 | 1% |
| Australia | 1 | 1% |
| Spain | 1 | 1% |
| China | 1 | 1% |
| Unknown | 69 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 34% |
| Student > Ph. D. Student | 20 | 26% |
| Student > Master | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Lecturer | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 32% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Medicine and Dentistry | 11 | 14% |
| Computer Science | 7 | 9% |
| Mathematics | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 12 | 16% |