[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Indexing::
Contact us::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Copyright Policy
..
:: year 6, Issue 2 (11-2019) ::
CJS 2019, 6(2): 45-56 Back to browse issues page
Analyzing descriptive and content structure of scientific documents in the field of fisheries sciences and engineering
Ismael Mostafavi * , Elham Esmaeel Pounaki
Department of Knowledge and Information Science, Faculty of Social Sciences, Yazd University, Yazd, Iran , mostafavi@yazd.ac.ir
Abstract:   (2737 Views)
Background and aim: The aim of this study was to analyze the descriptive and content structure of scientific outputs produced by fisheries researchers of Iranian universities in the Web of Science (WoS) from 1990 to 2020.
Material and methods: This scientometric study was performed using co-word analysis method. The population of this research consisted of 1755 fisheries documents, published during 1990-2020 and indexed in the WoS so that at least one of the researchers had organizational affiliation with Iranian universities and research centers. The data were analyzed using Excel, and the thematic maps of this area were drawn using VOSviewer.
Findings: The findings showed that Iran was ranked 25th in international fisheries scientific outputs; in this list, the United States, Japan and Canada were ranked first to third in the world, respectively. Moreover, the findings indicated that Iran had the highest number of scientific outputs in 2017. Among the universities and research centers of Iran, Islamic Azad University, Tehran University and Gorgan University of Agricultural Sciences and Natural Resources had the highest rate of scientific outputs, respectively. The researchers published the most documents in the Iranian Journal of Fisheries Sciences, Journal of Applied Ichthyology and Aquaculture Research. In the study of the co-word network analysis of Iranian fisheries, 10 thematic clusters were identified.
Conclusion: Social network analysis of word concepts has suggested that the highest centrality indicators of fisheries studies is associated with marine biology, aquatics reproduction, aquaculture, aquatics safety system, quality of food products, pathogens in aquatics, pollution of aquatic environments, physiological indicators of stress, aquatics nutrition and salinity stress.
Keywords: Descriptive and content analysis, Scientific outputs, Fisheries, Web of Science
Full-Text [PDF 1197 kb]   (1600 Downloads)    
Type of Study: Orginal | Subject: Scientific Production
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mostafavi I, Esmaeel Pounaki E. Analyzing descriptive and content structure of scientific documents in the field of fisheries sciences and engineering. CJS 2019; 6 (2) :45-56
URL: http://cjs.mubabol.ac.ir/article-1-189-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 6, Issue 2 (11-2019) Back to browse issues page
Caspian Journal of Scientometrics
Persian site map - English site map - Created in 0.06 seconds with 39 queries by YEKTAWEB 4645