| Title |
Thirty-One Novel Biomarkers as Predictors for Clinically Incident Diabetes
|
|---|---|
| Published in |
PLOS ONE, April 2010
|
| DOI | 10.1371/journal.pone.0010100 |
| Pubmed ID | |
| Authors |
Veikko Salomaa, Aki Havulinna, Olli Saarela, Tanja Zeller, Pekka Jousilahti, Antti Jula, Thomas Muenzel, Arpo Aromaa, Alun Evans, Kari Kuulasmaa, Stefan Blankenberg |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Canada | 2 | 2% |
| Brazil | 2 | 2% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| Malaysia | 1 | <1% |
| Thailand | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 103 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 22% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Master | 14 | 12% |
| Student > Postgraduate | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 28 | 24% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 38% |
| Agricultural and Biological Sciences | 18 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Nursing and Health Professions | 4 | 3% |
| Computer Science | 4 | 3% |
| Other | 19 | 16% |
| Unknown | 19 | 16% |