| Title |
The New Comorbidity Index for Predicting Survival in Elderly Dialysis Patients: A Long-Term Population-Based Study
|
|---|---|
| Published in |
PLOS ONE, August 2013
|
| DOI | 10.1371/journal.pone.0068748 |
| Pubmed ID | |
| Authors |
Wei-Chih Kan, Jhi-Joung Wang, Shuo-Yu Wang, Yih-Min Sun, Chien-Ya Hung, Chin-Chen Chu, Chin-Li Lu, Shih-Feng Weng, Chung-Ching Chio, Chih-Chiang Chien |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Peru | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 40% |
| Nursing and Health Professions | 4 | 7% |
| Psychology | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 9 | 15% |
| Unknown | 17 | 28% |