| Title |
Assessment of Metabolomic and Proteomic Biomarkers in Detection and Prognosis of Progression of Renal Function in Chronic Kidney Disease
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0096955 |
| Pubmed ID | |
| Authors |
Esther Nkuipou-Kenfack, Flore Duranton, Nathalie Gayrard, Àngel Argilés, Ulrika Lundin, Klaus M. Weinberger, Mohammed Dakna, Christian Delles, William Mullen, Holger Husi, Julie Klein, Thomas Koeck, Petra Zürbig, Harald Mischak |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Russia | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 131 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 15% |
| Student > Bachelor | 17 | 13% |
| Student > Ph. D. Student | 16 | 12% |
| Professor | 9 | 7% |
| Student > Doctoral Student | 8 | 6% |
| Other | 33 | 24% |
| Unknown | 32 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 29% |
| Biochemistry, Genetics and Molecular Biology | 20 | 15% |
| Agricultural and Biological Sciences | 16 | 12% |
| Chemistry | 9 | 7% |
| Veterinary Science and Veterinary Medicine | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 33 | 24% |