9029467

Source:http://linkedlifedata.com/resource/pubmed/id/9029467

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0034980, umls-concept:C0205199, umls-concept:C0456205, umls-concept:C0597177, umls-concept:C0681842, umls-concept:C0729441, umls-concept:C1550605
pubmed:issue	1
pubmed:dateCreated	1997-4-3
pubmed:abstractText	It has been hypothesized that composite wear is correlated to filler particle content. There is a paucity of research to substantiate this theory despite numerous projects evaluating the correlation.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0376364
pubmed:citationSubset	D
pubmed:chemical	http://linkedlifedata.com/resource/pubmed/chemical/Composite Resins
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	0022-3913
pubmed:author	pubmed-author:JaardaM JMJ, pubmed-author:OGOETT, pubmed-author:WangR FRF
pubmed:issnType	Print
pubmed:volume	77
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	57-67
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:9029467-Analysis of Variance, pubmed-meshheading:9029467-Composite Resins, pubmed-meshheading:9029467-Dental Restoration Wear, pubmed-meshheading:9029467-Electron Probe Microanalysis, pubmed-meshheading:9029467-Image Processing, Computer-Assisted, pubmed-meshheading:9029467-Microscopy, Electron, Scanning, pubmed-meshheading:9029467-Particle Size, pubmed-meshheading:9029467-Regression Analysis, pubmed-meshheading:9029467-Signal Processing, Computer-Assisted
pubmed:year	1997
pubmed:articleTitle	A regression analysis of filler particle content to predict composite wear.
pubmed:affiliation	Department of Prosthodontics, School of Dentistry, University of Michigan, Ann Arbor, USA.
pubmed:publicationType	Journal Article, Comparative Study