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Scientometric Study of SMA International Research Outputs
Somayeh Ghavidel, Nosrat Riahinia, Samira Daniali,
Volume 13, Issue 6 (Feb & Mar 2020)
Abstract
Background & Aim: studying scientific outputs by using scientific indices is a useful tool for understanding scientific research. The purpose of this study is to visualize the international research outputs of the SMA subject Area.
Materials & Method: This study is an applied one with an analytical approach and using scientometric indices. The population present in this study includes 4217 WOS records all in the SMA area from 1946 until the end of 2018. The MeSH have been used to identify keywords and Ravar PreMap software for words’ homogenization, VOSviewer, HistCite, and Excel used also.
Conclusion: Ninety-one countries involved in scientific production outputs of this subject area, were among the most influential countries in scientific collaboration. The USA has most of its collaborations with other countries. Of the 946 essential journals identified, HUMAN MOLECULAR GENETICS SMA has got the highest number of citations. Articles in SMA Subject Area with the total number of 6097 keywords have got the 1st rank, of which the “Spinal Muscular Atrophy” has got the highest frequency and the core subject among the nine influential countries. The total number of articles in this area is 8505. Worthy of mentioning, Iran with 58% of the total scientific output ranked nine on the list.
Results: The upward trend of SMA scientific research trend indicates the increasing importance of this area in the world. Due to the the international growth of research in this area and the importance of the participation of international research, researchers in our country should pay more attention to scientific cooperation.

Drawing Co-Citation Networks of Corona Virus Studies
Samira Daniali, Nosrat Riahi,
Volume 14, Issue 4 (Oct & Nov 2020)
Abstract
Background and Aim: The purpose of the present study is to map the coronavirus domain citation network to better understand this domain based on all other citation networks. 
Materials and Methods: The present study is applied in terms of purpose, and is descriptive scientometrics in terms of type, which has been done with the all-citation method. In this study, all scientific publications on coronavirus(6980 documents) in the period 1985-2019 AD were studied on April 10, 2020 in the Web of Science database. For analysis and drawing all citation maps, VOSviewer and Excel software were used.
Results: In the field of coronavirus, 6815 documents, 10246 journals, and 40298 authors were identified. Ksiazek(2003) with the acute respiratory syndrome(SARS) topic received 875 citations and won the first place. The most cited documents in the field of coronavirus have 5 clusters; and the first cluster with 201 documents and with the topic of studying the structure of coronavirus is the largest one. Journal of Virology -- with the thematic range of genome structure and replication, virus identification, etc. -- ranked first with 35,383 citations. The most cited journals in the field of coronavirus are 5 thematic clusters, and the first one is the largest cluster with 121 journals and with the thematic domains of health policy, coronavirus, etc. Also, Woo won PCY first place with his specialization in identifying new microbes and emerging infectious diseases, and receiving 1491 citations. The most cited authors in the field of corona virus are in 6 thematic clusters; the first cluster with 195 authors in specialized field of virology and coronavirus is the largest cluster.
Conclusion: By identifying the highly cited scientific products in the field of coronavirus, efforts have been made to provide a comprehensive view of top documents, top journals, and top authors so that it can be a decision-making tool in the shortest possible time.

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