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Trend Linking of Multiple System Atrophy: A Scientometric Study.

Mahdiyeh Khazaneha1, Farideh Osareh1, Kaveh Shafiee2

  • 1Department of Knowledge and Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Endocrine, Metabolic & Immune Disorders Drug Targets
|June 10, 2020
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Summary

This study analyzed 6,530 articles on Multiple System Atrophy (MSA) research from 1988-2018. Scientometric analysis reveals key themes and collaboration networks, offering a roadmap for future MSA research and policy.

Keywords:
Multiple system atrophyarticlesresearchscientometricthemetrend

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Area of Science:

  • Medical Research
  • Bibliometrics
  • Neuroscience

Background:

  • Multiple System Atrophy (MSA) research has evolved significantly over three decades.
  • Understanding research trends and collaboration patterns is crucial for advancing the field.

Purpose of the Study:

  • To analyze trends in Multiple System Atrophy (MSA) research from 1988 to 2018.
  • To identify common processes in MSA research development through collaboration network analysis.

Main Methods:

  • A descriptive survey utilizing a scientometric approach.
  • Data sourced from Web of Science (WoS) using Medical Subject Heading (MeSH) terms.
  • Analysis included collaboration networks and theme analysis.

Main Results:

  • 6,530 articles published between 1988-2018 by 39,184 authors, 3,865 organizations, and 80 countries.
  • Identified 287 highly cited articles (>100 citations) with a Global Citation Score (GCS) of 250,834.
  • Thematic analysis revealed chronological trends in MSA research topics.

Conclusions:

  • Scientometric analysis provides a comprehensive overview of MSA research landscape.
  • Identified research themes and collaboration patterns serve as a roadmap for future studies.
  • Findings can inform future research directions and policy-making in MSA.