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Evaluation of SBMU Residents’ Knowledge and Use of Evidence-Based Medical Databases and Concepts
Arefeh Kalavani, Maryam Kazerani, Maryam Shekofteh,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: With the development of the Internet and databases and the increasing need to institutionalize evidence-based medicine, physicians' awareness and use of evidence-based medical databases and concepts are considered to be necessary. Therefore, the aim of this study is to evaluate the knowledge and use of evidence-based medical concepts and databases among residents of Shahid Beheshti University of Medical Sciences (SBMU).
Materials and Methods: The present study is an applied and descriptive research. The population of this study comprised 192 SBMU residents in 2016. A questionnaire was used for data collection and SPSS software was applied for data analysis.
Results: The findings showed that residents obtained 2.99 for knowledge and 2.73 for the use of evidence-based medical databases out of a total average of 5 points, which indicates that their knowledge and practical use of evidence-based medical databases are moderate. Databases about which residents have the highest knowledge and practical use are UpToDate, PubMed Clinical Queries, and 
Cochrane, respectively. 
Conclusion: The majority of residents at Shahid Beheshti University of Medical Sciences do not have sufficient awareness about databases and concepts of evidence-based medicine; in fact, most of the resources that are used to answer their information needs are non-evidence-based resources. Therefore, planning to accept evidence-based medicine and databases and teach them to residents is essential.

Co-Authorship and Word Co-Occurrence Maps in of Endocrinology and Metabolism Scientific Publications of Iran
Fahimeh Mohammadi, Maryam Shekofteh, Maryam Kazerani,
Volume 18, Issue 3 (7-2024)
Abstract
Background and Aim: The growth and development of scientific fields depends on correct and accurate planning and a general and comprehensive understanding of the structure of these fields. Scientific maps are a type of scientometric methods that help to understand the current state of scientific fields and reveal their internal structure. The aim of the present study is to analyze co-authorship and word co-occurrence maps of scientific publications of Iran in the field of endocrinology and metabolism.
Materials and Methods: This is a cross-sectional scientometrics study. The research population is all scientific publications of Iran in the field of Endocrinology and Metabolism on the Web of Science. The co-authorship and co-word maps were analyzed using VOSviewer, Gephi, and NodeXL software. Network analysis was done using social network analysis indicators. Thematic clusters and emerging subjects were also identified through the examination of word co-occurrence networks.
Results: The total scientific publications of Iran in the field of endocrinology and metabolism on the Web of Science was 4847 documents. The co-authorship network is a type of sparse network. The value of the cluster coefficient of this network was 0.212 and its diameter was 11. The average degree of the co-authorship network (6.62) shows that each node is connected with about 6 other nodes on average. The diameter of the co-authorship network is 11. The most productive and influential outhors are Azizi F and Larijani B. Six thematic clusters were identified in the word co-occurrence network, the largest one is oxidative stress and gene expression, followed by the obesity and diabetes cluster. The word “autoimmunity” is one of the emerging words in this field.
Conclusion: Iran’s research in the field of Endocrinology and Metabolism shows an increasing trend, but there is little cooperation between the authors of the field. Their co-authorship networks are sparse, and the authors’ tendency to form clusters is low. Therefore, planning is needed to increase scientific cooperation and the density of networks. It is suggested that the researchers of this field pay attention to the thematic clusters of the co-word network and emerging subjects in the design of their future research.

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