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Network Analysis of Citation in Hypertension Clinical Guidelines

DC Field Value Language
dc.contributor.author김형우-
dc.contributor.author조한얼-
dc.date.accessioned2020-03-04T00:37:27Z-
dc.date.available2020-03-04T00:37:27Z-
dc.date.issued2019-
dc.identifier.issn0926-9630-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/175381-
dc.description.abstractRecently the two most influential clinical guideline were published for diagnosing and treating hypertension in US and Europe: 2017 American College of Cardiology/American Heart Association (ACC/AHA) and 2018 European Society of Cardiology/European Society of Hypertension (ESC/ESH) Guideline. Though both of them have most in common, the differences in details between guidelines have confused many clinicians in the world. Because guidelines were evidence- based literature, through the analysis of articles cited in guidelines, these similarities and differences could be explained. Bibliometric analysis is a method of quantifying the contents of literature to analyze literature. So using the bibliometric analysis including co-citation network analysis, articles cited in guideline were analyzed. As a result, we figured out that bibliometrics can analyze the influence of the countries, authors and studies on the guidelines, which might affect on the similarities and the differences between both guidelines.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherIOS Press-
dc.relation.isPartOfStudies in Health Technology and Informatics-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAmerican Heart Association-
dc.subject.MESHBibliometrics-
dc.subject.MESHCardiology-
dc.subject.MESHEurope-
dc.subject.MESHHumans-
dc.subject.MESHHypertension*-
dc.subject.MESHUnited States-
dc.titleNetwork Analysis of Citation in Hypertension Clinical Guidelines-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorYoujin Park-
dc.contributor.googleauthorHyung Woo Kim-
dc.contributor.googleauthorSeng Chan You-
dc.contributor.googleauthorGeorge Hripcsak-
dc.contributor.googleauthorHan Eol Cho-
dc.contributor.googleauthorJi Hyuk Han-
dc.contributor.googleauthorSeo Jeong Shin-
dc.contributor.googleauthorRae Woong Park-
dc.identifier.doi10.3233/SHTI190378-
dc.contributor.localIdA01151-
dc.relation.journalcodeJ02693-
dc.identifier.pmid31438078-
dc.identifier.urlhttp://ebooks.iospress.nl/publication/52143-
dc.subject.keywordBibliometrics-
dc.subject.keywordGuideline-
dc.subject.keywordHypertension-
dc.contributor.alternativeNameKim, Hyung Woo-
dc.contributor.affiliatedAuthor김형우-
dc.citation.volume264-
dc.citation.startPage1017-
dc.citation.endPage1020-
dc.identifier.bibliographicCitationStudies in Health Technology and Informatics, Vol.264 : 1017-1020, 2019-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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