引用
水解降解
降级(电信)
计算机科学
Altmetrics公司
社会化媒体
偶像
图书馆学
万维网
情报检索
化学
水解
有机化学
电信
程序设计语言
作者
Marcus J. Caulfield,Greg G. Qiao,David H. Solomon
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2002-07-31
卷期号:102 (9): 3067-3084
被引量:411
摘要
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSome Aspects of the Properties and Degradation of PolyacrylamidesMarcus J. Caulfield, Greg G. Qiao, and David H. SolomonView Author Information Polymer Science Group, Department of Chemical Engineering, The University of Melbourne, Victoria 3010, Australia Cite this: Chem. Rev. 2002, 102, 9, 3067–3084Publication Date (Web):July 31, 2002Publication History Received12 January 2002Published online31 July 2002Published inissue 1 September 2002https://pubs.acs.org/doi/10.1021/cr010439phttps://doi.org/10.1021/cr010439presearch-articleACS PublicationsCopyright © 2002 American Chemical SocietyRequest reuse permissionsArticle Views5958Altmetric-Citations331LEARN 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 InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Amides,Degradation,Hydrolysis,Polyacrylamide,Polymers Get e-Alerts
科研通智能强力驱动
Strongly Powered by AbleSci AI