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Mendeley readers
| Title |
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-s2-s8 |
| Pubmed ID | |
| Authors |
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soininen, Petri Ingman, Sanna M Mäkelä, Markku J Savolainen, Minna L Hannuksela, Kimmo Kaski, Mika Ala-Korpela |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 27% |
| Student > Ph. D. Student | 15 | 21% |
| Professor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 12 | 17% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 23% |
| Medicine and Dentistry | 10 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Engineering | 7 | 10% |
| Chemistry | 7 | 10% |
| Other | 13 | 19% |
| Unknown | 10 | 14% |