Disaster medicine: object of study and scientometric analysis of domestic scientific articles (2005–2017)

Abstract

Relevance.Despite the decrease in the absolute indicators of emergencies, accidents and catastrophes, and the reduction of related injuries in Russia, there is still a high level of mortality and injuries associated with the impact of external causes, surpassing similar indicators in the leading countries of the world. Therefore, research to optimize the provision of first aid and emergency medical care to the injured is needed.Intention.To conduct a content analysis of domestic articles within the branch of knowledge “Disaster Medicine. Service of Disaster Medicine” and to reveal their scientometric indicators.Methodology.The object of research was an electronic database of domestic publications (scientific articles, reviews and brief reports) indexed in the Russian Scientific Citation Index in 2005–2017.Results and Discussion.During the electronic search, 2431 publications on the disaster medicine were found. The polynomial trend with a high coefficient of determination (R2 = 0.90) showed an increase in indicators. Over the research period, the average annual number of publications was (186 ± 23) articles. The general provisions of the disaster medicine were covered in 10.1 % , tasks and organization of the service of disaster medicine – in 5.8 %. forecasting and modeling of health consequences in emergencies – in 16.6 %, organization of health care – in 25.3 %, medical care and treatment of injured – in 13.5 %, medical control, examination and rehabilitation of rescuers – in 4.1 % , training of specialists in disaster medicine – in 9.4 %, biological problems – in 5.3%, psychiatric and psychological aspects – in 9.9 % of articles. The average weighted impact-factor of the journals in which the articles were published is 0.302, the average number of articles per 1 co-author was 0.40, the average number of citations per article is 1.54, for 1 co-author 0.55, the number articles quoted at least once, 43.8 %, the number of self-citations, 19.2 %, the Hirsch index was 19. The median of the chronology of citations was 4.5 years. Scientometric analysis of articles on leading authors, journals and organizations was conducted.Conclusion. The performed analysis helps to optimize scientific research on disaster medicine. The electronic database of the Scientific Electronic Library provides great information opportunities, for example, on May 12, 2018, 70.5 % of articles within the created collection of publications had the full text, including 60.2% of articles that were provided free charge to registered readers of the library.