You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Dataset
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-140 |
| Pubmed ID | |
| Authors |
Chris Bauer, Frank Kleinjung, Celia J Smith, Mark W Towers, Ali Tiss, Alexandra Chadt, Tanja Dreja, Dieter Beule, Hadi Al-Hasani, Knut Reinert, Johannes Schuchhardt, Rainer Cramer |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 7 | 19% |
| Student > Master | 7 | 19% |
| Professor | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Chemistry | 3 | 8% |
| Mathematics | 2 | 6% |
| Other | 11 | 31% |
| Unknown | 4 | 11% |