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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Medical Sciences</PublisherName>
				<JournalTitle>Health Information Management</JournalTitle>
				<Issn>1735-7853</Issn>
				<Volume>15</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Mapping Intellectual Structure of Health Literacy Area Based on Co-Word Analysis in Web of Science Database during the Years 1993-2017</ArticleTitle>
<VernacularTitle>Mapping Intellectual Structure of Health Literacy Area Based on Co-Word Analysis in Web of Science Database during the Years 1993-2017</VernacularTitle>
			<FirstPage>139</FirstPage>
			<LastPage>145</LastPage>
			<ELocationID EIdType="pii">11638</ELocationID>
			
<ELocationID EIdType="doi">10.22122/him.v15i3.3577</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Baji</LastName>
<Affiliation>Assistant Professor, Knowledge and Information Science, Department of Medical Library and Information Science, School of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8405-3307</Identifier>

</Author>
<Author>
					<FirstName>Fereydoun</FirstName>
					<LastName>Azadeh</LastName>
<Affiliation>Associate Professor, Medical Library and Information Science, Department of Medical Library and Information Science, School of Allied Medical Sciences, Tehran Medical University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Parastoo</FirstName>
					<LastName>Parsaei-Mohammadi</LastName>
<Affiliation>Lecturer, Knowledge and Information Science, Department of Medical Library and Information Science, School of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-2719-0695</Identifier>

</Author>
<Author>
					<FirstName>Shoukat</FirstName>
					<LastName>Parmah</LastName>
<Affiliation>MSc Student, Medical Library and Information Science, Department of Medical Library and Information Science, School of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>04</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>Introduction: Creating an image of the conceptual structure of health literacy area, as well as the study of interdisciplinary and the relationship between its domains seems necessary. The present study examined the intellectual structure of health literacy area in Web of Science database using co-word analysis.Methods: This was a scientometrics research and bibliometric study, carried out using co-word analysis method. Social network analysis was used for this purpose. The research community compiled all the relevant scientific literature on the field of health literacy in Web of Science during the years 1993-2017. For data analysis, network integrity and centrality indices were used.Results: Clustering co-efficient (7.17) and network density (0.58) were high in the resulted network. Moreover, the intellectual structure of this domain consisted of eight subject clusters. Health care, psychiatry and psychology, public health, social sciences, communications, health services, and medical education had the highest levels of centrality throughout the entire network.Conclusion: The results show that the intellectual structure of the health literacy domain in general has an integrate structure with a proper relationship between its concepts and subjects. This shows the essence of this area, which is able to establish a consistent and sustained relationship with the social sciences and humanities as a branch of medical science. Finally, the results of this study will help health literacy researchers to understand the research trend of this area in future studies based on the identified areas of influence.</Abstract>
			<OtherAbstract Language="FA">Introduction: Creating an image of the conceptual structure of health literacy area, as well as the study of interdisciplinary and the relationship between its domains seems necessary. The present study examined the intellectual structure of health literacy area in Web of Science database using co-word analysis.Methods: This was a scientometrics research and bibliometric study, carried out using co-word analysis method. Social network analysis was used for this purpose. The research community compiled all the relevant scientific literature on the field of health literacy in Web of Science during the years 1993-2017. For data analysis, network integrity and centrality indices were used.Results: Clustering co-efficient (7.17) and network density (0.58) were high in the resulted network. Moreover, the intellectual structure of this domain consisted of eight subject clusters. Health care, psychiatry and psychology, public health, social sciences, communications, health services, and medical education had the highest levels of centrality throughout the entire network.Conclusion: The results show that the intellectual structure of the health literacy domain in general has an integrate structure with a proper relationship between its concepts and subjects. This shows the essence of this area, which is able to establish a consistent and sustained relationship with the social sciences and humanities as a branch of medical science. Finally, the results of this study will help health literacy researchers to understand the research trend of this area in future studies based on the identified areas of influence.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Health Literacy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Social Networks</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Database, Bibliometrics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://him.mui.ac.ir/article_11638_9bd61ffe923a9953840d210e3b6111dd.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
