Coronavirus: Discover the Structure of Global Knowledge, Hidden Patterns & Emerging Events
- سال انتشار: 1399
- محل انتشار: مجله علمی پژوهشی دانشگاه علوم پزشکی زنجان، دوره: 28، شماره: 130
- کد COI اختصاصی: JR_ZUMS-28-130_004
- زبان مقاله: انگلیسی
- تعداد مشاهده: 359
نویسندگان
Information Management Research Department, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran
Department of Knowledge and Information Science, Kharazmi University, Tehran, Iran
Research and Development Department, Farname Inc, Thornhill, Canada
چکیده
Background & Objective: The present study aimed at exploring the structure of global knowledge, hidden patterns, and emerging Coronavirus events using co-word techniques. Co-word analysis is one of the most efficient scientific methods to analyze the structure and dynamics of knowledge and the general state of research. Materials & Methods: This applied research performed using Co-word analysis. The statistical population is ۴۱۰۲ keywords from Web of Science Core Collection indexed documents on Coronavirus retrieved through advanced search (۱۹۷۰-۲۰۱۹). To identify the keywords used to design a search strategy, the Medical Subject Heading browser was utilized. After the keyword editing process, the threshold identified, and UCINET, VOSviewe, and SPSS ۱۶ were used to analyze the data. Results: The highest frequent keyword was "Severe Acute Respiratory Syndrome (SARS)" with a frequency of ۲۷۶. Nineteen subject clusters were the result of a hierarchical clustering analysis by the Wardschr('۳۹') method. Clusters ۴ and ۱۵ were the biggest ones with nine keywords. Strategic diagram analysis showed that the most prominent Coronavirus clusterschr('۳۹') most prominent clusters are in Quadrant III of the strategic diagram. Conclusion: The results showed that Coronavirus researchchr('۳۹')s intellectual structure in the form of ۱۹-topic thematic clusters and determining the degree of cluster cohesion makes it possible to discover complex conceptual relationships of valid international Coronavirus research. The results of this paper could also be used to guide medical researchers, especially coronavirus scientists. Medical policymakers can also more effectively present strategic plans by becoming aware of the global knowledge structure, hidden patterns, and emerging international coronavirus events.کلیدواژه ها
Coronavirus, COVID-۱۹, ۲۰۱۹-nCoV, Coronavirus Disease ۲۰۱۹, Scientometrics, Co-word Analysis, strategic diagram.اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.