Originalartikel | erschienen - Druck | peer reviewed

A network-based approach to visualize prevalence and progression of metabolic syndrome components.

2012 ; 7(6): e39461 - e39461

Bibliometrische Indikatoren

Zitierhäufigkeit nach WOS = 79

DOI = 10.1371/journal.pone.0039461

PubMed-ID = 22724019

Autoren

Beteiligte Einrichtungen

Abstract

The additional clinical value of clustering cardiovascular risk factors to define the metabolic syndrome (MetS) is still under debate. However, it is unclear which cardiovascular risk factors tend to cluster predominately and how individual risk factor states change over time. METHODS #ENTITYSTARTX00026;

Veröffentlicht in

Jahr	2012
Impact Factor (2012)
Volume	7
Issue	6
Seiten	e39461 - e39461
Open Access	nein
Peer reviewed	ja
Artikelart	Originalartikel
Artikelstatus	erschienen - Druck
DOI	10.1371/journal.pone.0039461
PubMed-ID	22724019

Allgemeine Daten zur Fachzeitschrift

Kurzbezeichnung:
ISSN:
eISSN:
Land:
Sprache:
Kategorie(n):

CARDIAC & CARDIOVASCULAR SYSTEMS

Beteiligte Departments

Community Medicine

Projekte

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

Departments