Original article | published - printed | peer reviewed

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

PLoS One 2012 ; 7(6): e39461 - e39461

Bibliometric indicators

Impact Factor = 3.73

Citations (WOS) = 20

DOI = 10.1371/journal.pone.0039461

PubMed-ID = 22724019

Authors

Haring R*, Rosvall M, Völker U, Völzke H, Kroemer H, Nauck M, Wallaschofski H

Affiliations

Institut für Pharmakologie / Abt. Allgemeine Pharmakologie

Institut für Klinische Chemie und Laboratoriumsmedizin

Institut für Community Medicine / Abt. SHIP KEF

Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung

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;

Published in

PLoS One

Year	2012
Impact Factor (2012)	3.73
Volume	7
Issue	6
Pages	e39461 - e39461
Open Access	nein
Peer reviewed	ja
Article type	Original article
Article state	published - printed
DOI	10.1371/journal.pone.0039461
PubMed-ID	22724019

Common journal data

Short name: PLOS ONE
ISSN: 1932-6203
eISSN: 1932-6203
Country: USA
Language: English
Categories:

MULTIDISCIPLINARY SCIENCES

Impact factor trend

Year	Impact Factor
2009	4.351
2010	4.411
2011	4.092
2012	3.73
2013	3.534
2014	3.234
2015	3.057
2016	2.806
2017	2.766
2018	2.776
2019	2.74
2020	3.24
2021	3.752
2022	3.7
2023	2.9
2024	2.6

Projects

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
DZHK: Deutsches Zentrum für Herzkreislaufforschung

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