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- W2054779318 abstract "ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPrediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networksLawrence S. Anker and Peter C. JursCite this: Anal. Chem. 1992, 64, 10, 1157–1164Publication Date (Print):May 15, 1992Publication History Published online1 May 2002Published inissue 15 May 1992https://doi.org/10.1021/ac00034a015RIGHTS & PERMISSIONSArticle Views140Altmetric-Citations92LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (980 KB) Get e-Alerts Get e-Alerts" @default.
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- W2054779318 title "Prediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networks" @default.
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