000157430 001__ 157430
000157430 005__ 20240229133154.0
000157430 0247_ $$2doi$$a10.2147/DMSO.S263727
000157430 0247_ $$2altmetric$$aaltmetric:88685799
000157430 0247_ $$2pmid$$a32821138
000157430 037__ $$aDKFZ-2020-01625
000157430 082__ $$a610
000157430 1001_ $$00000-0001-9595-3194$$aEfremov, Ljupcho$$b0
000157430 245__ $$aMetabolically Healthy, but Obese Individuals and Associations with Echocardiographic Parameters and Inflammatory Biomarkers: Results from the CARLA Study
000157430 260__ $$aAlbany, Auckland$$bDove Medical Press$$c2020
000157430 3367_ $$2DRIVER$$aarticle
000157430 3367_ $$2DataCite$$aOutput Types/Journal article
000157430 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1611213134_828
000157430 3367_ $$2BibTeX$$aARTICLE
000157430 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000157430 3367_ $$00$$2EndNote$$aJournal Article
000157430 536__ $$0G:(DE-HGF)POF3-323$$a323 - Metabolic Dysfunction as Risk Factor (POF3-323)$$cPOF3-323$$fPOF III$$x0
000157430 588__ $$aDataset connected to CrossRef
000157430 7001_ $$aLacruz, Maria Elena$$b1
000157430 7001_ $$aTiller, Daniel$$b2
000157430 7001_ $$00000-0001-8920-2853$$aMedenwald, Daniel$$b3
000157430 7001_ $$0P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aGreiser, Karin Halina$$b4$$udkfz
000157430 7001_ $$aKluttig, Alexander$$b5
000157430 7001_ $$00000-0001-5871-2586$$aWienke, Andreas$$b6
000157430 7001_ $$aNuding, Sebastian$$b7
000157430 7001_ $$00000-0003-1271-7204$$aMikolajczyk, Rafael$$b8
000157430 773__ $$0PERI:(DE-600)2494854-8$$a10.2147/DMSO.S263727$$gVol. Volume 13, p. 2653 - 2665$$p2653 - 2665$$tDiabetes, metabolic syndrome and obesity$$vVolume 13$$x1178-7007$$y2020
000157430 909CO $$ooai:inrepo02.dkfz.de:157430$$pVDB
000157430 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000157430 9131_ $$0G:(DE-HGF)POF3-323$$1G:(DE-HGF)POF3-320$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lHerz-Kreislauf-Stoffwechselerkrankungen$$vMetabolic Dysfunction as Risk Factor$$x0
000157430 9141_ $$y2020
000157430 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bDIABET METAB SYND OB : 2018$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2020-01-15
000157430 915__ $$0LIC:(DE-HGF)CCBYNCNV$$2V:(DE-HGF)$$aCreative Commons Attribution-NonCommercial CC BY-NC (No Version)$$bDOAJ$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$f2020-01-15
000157430 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-01-15
000157430 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x0
000157430 980__ $$ajournal
000157430 980__ $$aVDB
000157430 980__ $$aI:(DE-He78)C020-20160331
000157430 980__ $$aUNRESTRICTED