Header

UZH-Logo

Maintenance Infos

Cardiovascular risk prediction models with myocardial perfusion imaging in chronic kidney disease: ACCESSing digits or focusing on the patient?


Patriki, Dimitri; Giannopoulos, Andreas A (2020). Cardiovascular risk prediction models with myocardial perfusion imaging in chronic kidney disease: ACCESSing digits or focusing on the patient? Journal of Nuclear Cardiology, 27(1):51-52.

Statistics

Citations

Dimensions.ai Metrics
3 citations in Web of Science®
3 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 22 Aug 2018
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Nuclear Medicine
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Radiology, Nuclear Medicine and Imaging
Health Sciences > Cardiology and Cardiovascular Medicine
Uncontrolled Keywords:Radiology Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Language:English
Date:1 February 2020
Deposited On:22 Aug 2018 14:19
Last Modified:27 Nov 2023 08:10
Publisher:Springer
ISSN:1071-3581
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s12350-018-1367-8
PubMed ID:30014349