این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
دوشنبه 27 بهمن 1404
Medical Journal of Islamic Republic of Iran
، جلد ۳۵، شماره ۱، صفحات ۱۳۲-۱۴۲
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
COVID-19 research progress: Bibliometrics and visualization analysis
چکیده انگلیسی مقاله
Background: Coronavirus primarily targets the human respiratory system, COVID-19 (Coronavirus disease 2019) triggered in China in the late 2019. In March 2020, WHO announced the COVID-19 pandemic. This study aims to analyze and visualize the scientific structure of the COVID-19 publications using co-citation and co-authorship. Methods: This is a scientometric study. Web of Science Core Collection (WoSCC) was searched for all documents regarding COVID-19, MERS-Cov, and SARS-Cov from the beginning to 2020. An Excel spreadsheet was applied to gather and analyze the data and the CiteSpace was used to visualize and analyze the data. Results: A total of 5159 records were retrieved in WoSCC. The structure of the network indicated that the network mean silhouette was low (0.1444), implying that the network clusters' identity is not identifiable with high confidence. The network modularity was 0.7309. The cluster analysis of the co-citation network on documents from 2003 to 2020 provided 188 clusters. The largest cluster entitled, "the Middle East respiratory syndrome coronavirus" had 255 nodes. The coauthorship network illustrated that the most prolific countries, USA, China, and Saudi Arabia, have focused on a specific field and have formed separate clusters. Conclusion: The present study identified the important topics of research in the field of COVID-19 based on co-citation networks as well as the analysis of clusters of countries' collaborations. Despite the similarities in the production behavior in prolific countries, their thematic focus varies so that a country like China plays a role in "Quantitative Detection" cluster, while USA is the leading country in the "Biological Evaluation" cluster.
کلیدواژههای انگلیسی مقاله
Covid-19, Scientometrics, Visualization analysis, Co-citation, Collaboration network, Coauthorship, CiteSpace
نویسندگان مقاله
| Maryam Okhovati
1. Medical Library and Information Sciences Department, School of Management and Information Science, Kerman University of Medical Sciences, Kerman, Iran
| Homa Arshadi
Medical Library and Information Sciences Department, School of Management and Information Science, Kerman University of Medical Sciences, Kerman, Iran
نشانی اینترنتی
http://mjiri.iums.ac.ir/browse.php?a_code=A-10-6308-1&slc_lang=en&sid=1
فایل مقاله
فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
COVID 19
نوع مقاله منتشر شده
Original Research
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات