Tracking and predicting growth of health information using scientometrics methods and Google Trends

dc.audienceAudience::Health and Bioscience Libraries Section
dc.conference.sessionTypeHealth and Biosciences Libraries
dc.conference.venueKuala Lumpur Convention Centre
dc.congressWLICIFLA WLIC 2018 - Wrocław, Poland
dc.contributor.authorRepanovici, Angela
dc.contributor.authorLandoy, Ane
dc.date.accessioned2025-09-24T09:07:39Z
dc.date.available2025-09-24T09:07:39Z
dc.date.issued2018
dc.description.abstractThe scholarly impact of medical/ health information is measured by scientometric indicators like number of articles, citations and international collaborations. Now, several mobile health applications are available, smart devices to be used by citizens in evaluation of their own health. The purpose of this paper is to analyse the content of Web of Science (WoS) by searching the interdisciplinary field of Health information, 2010-present with the following WoS categories: Information Science, Library Science, Ethics, Education and Biomedical Engineering. We found 1425 results defined by a set of keywords. Data were retrieved and analysed using a bibliometric tool: VOS Viewer. We found that 34 countries collaborate in 9 clusters in this field, when we created maps over collaboration, co-authoring, and most used descriptors. We aim at drawing conclusions about top universities, authors and sources in the field and impact of health information. We used Google trend, a Google application in order to find who is interested in the term Health information. We found that in high quality research and users of Google there are similarities regarding interest of searching in finding information. Originality/value is that the bibliometric model approach is new in light of an overwhelming and exponentially growing amount of literature and comparison with people all over the world interest in searching Health information.en
dc.identifier.relatedurlhttps://2018.ifla.org/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/6326
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordHealth information
dc.subject.keywordscientometric
dc.subject.keywordWeb of Science
dc.subject.keywordCitation analysis
dc.subject.keywordVOS Viewer
dc.subject.keywordGoogle trends
dc.titleTracking and predicting growth of health information using scientometrics methods and Google Trendsen
dc.typeArticle
ifla.UnitSection:Health and Bioscience Libraries Section
ifla.oPubIdhttps://library.ifla.org/id/eprint/2178/

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