Delineation and analysis of co-authorship network among the academics of School of Dentistry in Kerman University of Medical Sciences in 2013 using network analysis method

BACKGROUND AND AIM: This study aims to explore the co-authorship in School of Dentistry at Kerman University of Medical Sciences, Iran, in three levels; individuals, other schools of KUU, and beyond the university. METHODS: This is a cross-sectional study which is a part of a larger study conducted from September 2014 to December 2014. A comprehensive search in Scopus was conducted to find related articles published in 2013 by following these steps; first of all, a complete list of all faculties, based on the school and the department they worked in, was obtained. Second, all articles indexed with the affiliation of KMU were retrieved, using both keywords of “Kerman Medical University” and KUM Sciences.” The data were analyzed using Social Network Analysis and Visone software. RESULTS: The results showed an inadequate collaboration within departments; only two of them had collaboration. Co-authorship among departments illustrated a more satisfactory picture: although, it still has more rooms for improvement. Regarding collaboration between the Dentistry School and other schools of the university, the School of Dentistry is in a middle position, though it could have had more potential relationships. The School of Dentistry formed a few relationships with the organizations outside of the university. CONCLUSION: Our study suggests that there are more rooms for improvement in the field of collaboration and coauthoring papers, which could consequently not only lead to a higher rate of publication and visibility but also affect the citation rates for authors. KEYWORDS: Authorship Collaboration; Dentistry; Network Analysis; Social Networks; Co-Authorshi

Delineation and analysis of co-authorship network among the academics of School of Dentistry in Kerman University of Medical Sciences in 2013 using network analysis method

BACKGROUND AND AIM: This study aims to explore the co-authorship in School of Dentistry at Kerman University of Medical Sciences, Iran, in three levels; individuals, other schools of KUU, and beyond the university. METHODS: This is a cross-sectional study which is a part of a larger study conducted from September 2014 to December 2014. A comprehensive search in Scopus was conducted to find related articles published in 2013 by following these steps; first of all, a complete list of all faculties, based on the school and the department they worked in, was obtained. Second, all articles indexed with the affiliation of KMU were retrieved, using both keywords of “Kerman Medical University” and KUM Sciences.” The data were analyzed using Social Network Analysis and Visone software. RESULTS: The results showed an inadequate collaboration within departments; only two of them had collaboration. Co-authorship among departments illustrated a more satisfactory picture: although, it still has more rooms for improvement. Regarding collaboration between the Dentistry School and other schools of the university, the School of Dentistry is in a middle position, though it could have had more potential relationships. The School of Dentistry formed a few relationships with the organizations outside of the university. CONCLUSION: Our study suggests that there are more rooms for improvement in the field of collaboration and co-authoring papers, which could consequently not only lead to a higher rate of publication and visibility but also affect the citation rates for authors

Estimation of basic reproductive number of flu-like syndrome in a primary school in Iran

Introduction: Iran, similar to other countries, had faced H1N1 flu outbreak in 2009. In order to assess its transmission dynamic, we estimated its force of infection (β) and basic reproductive number (R 0 ). Methods: Within a middle size primary school in Iran, we actively followed students and detected flu-like syndrome among students and their families in the first three months of academic year; October through December 2009. We estimated the probability of disease transmission within families (β) fitting random effects Poisson regression model. Moreover, R 0 within the school was computed based on the number of detected cases. Results: In 452 students, 204 influenza-like syndromes were detected. The estimated β within families was 0.10; increasing one infectious member within each family was associated with 30% increase in this number. The estimated R 0 for the first month was 1.21 (95% C.I.: 0.99, 1.47); corresponding numbers for the first two and first three months were 1.28 (95% C.I.: 1.05, 1.54) and 1.32 (95% C.I.: 1.11, 1.59), respectively. Conclusion: It seems that the dynamic transmission of H1N1 virus was more or less comparable with that in other seasonal species. Our findings showed that the virus mainly circulated among students within schools. In addition, it seems that the transmission rate within families was relatively high