Literature DB >> 32515315

Trend Linking of Multiple System Atrophy: A Scientometric Study.

Mahdiyeh Khazaneha1, Farideh Osareh1, Kaveh Shafiee2.   

Abstract

AIM: This study aims to add to previous analyses and describe the trends in MSA research from three decades, 1988 to 2018, through assessing the medical literature. Additionally, a collaboration network was analyzed to determine the most common process in development of MSA research.
METHODS: This research was a descriptive survey with a scientometric approach. The data for the present study were collected from the Web of Science (WoS) and search strategy based on Medical Subject Heading (MeSH) term. In this research, the data analysis was performed based on collaboration network and theme analysis. RESULTS AND
CONCLUSION: In this study, 6530 articles were retrieved from 1988 to 2018 divided in three different periods. These articles were drafted by 39,184 authors, 3,865 organizations, 80 countries, and 832 journals. Further, 287 articles with more than 100 citations were found. The global citation score (GCS) was 250,834 times and the average citations per article was 3,841 times. The MSA research field demonstrated a diagram for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. Scientometric analysis of the field of MSA can be regarded as a roadmap for future research and policymaking in this important area. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Multiple system atrophy; articles; research; scientometric; theme; trend

Mesh:

Year:  2021        PMID: 32515315     DOI: 10.2174/1871530320666200607194810

Source DB:  PubMed          Journal:  Endocr Metab Immune Disord Drug Targets        ISSN: 1871-5303            Impact factor:   2.895


  1 in total

1.  Global Trends in Research of Gouty Arthritis Over Past Decade: A Bibliometric Analysis.

Authors:  Pin Deng; Shulong Wang; Xiaojie Sun; Yinze Qi; Zhanhua Ma; Xuyue Pan; Huan Liang; Junde Wu; Zhaojun Chen
Journal:  Front Immunol       Date:  2022-06-10       Impact factor: 8.786

  1 in total

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