Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence
المؤلفون المشاركون
Klongthong, Worasak
Muangsin, Veera
Gowanit, Chupun
Muangsin, Nongnuj
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Chitosan has attracted increasing attention from researchers in the pharmaceutical and biomedical fields as a potential agent for the prevention and treatment of infectious diseases.
However, identifying the development of emerging technologies related to this biopolymer is difficult, especially for newcomers trying to understand the research streams.
In this work, we designed and implemented a research process based on a bibliometric predictive intelligence model.
Our aim is to glean detailed scientific and technological trends through an analysis of publications that include certain word phrases and related research areas.
Cross correlation, factor mapping, and the calculation of “emergent” scores were also used.
A total of 1,612 scientific papers on chitosan technology related to viral disease treatment published between 2010 and 2020 were retrieved from the Web of Science.
Results from the keyword modelling quantitatively highlight three major frontier research and development topic groups: drug delivery and adjuvants, vaccines and immune response, and tissue engineering.
More specifically, the emergent scores show that much of the chitosan-based treatment for viral diseases is in the in vitro stage of development.
Most chitosan applications are in pharmacology/pharmacy and immunology.
All results were confirmed by experts in the field, which indicates that the validated process can be applied to other fields of interest.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Klongthong, Worasak& Muangsin, Veera& Gowanit, Chupun& Muangsin, Nongnuj. 2020. Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence. Journal of Chemistry،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1182051
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Klongthong, Worasak…[et al.]. Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence. Journal of Chemistry No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1182051
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Klongthong, Worasak& Muangsin, Veera& Gowanit, Chupun& Muangsin, Nongnuj. Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence. Journal of Chemistry. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1182051
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1182051
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر