Postural control of Parkinson's disease: A visualized analysis based on Citespace knowledge graph

Area of Science:

• Neurology
• Rehabilitation Science
• Bibliometrics

Background:

• Postural control impairment is a key motor symptom in Parkinson's disease (PD), increasing fall risk.
• Existing research on PD postural control is extensive, yet a bibliometric analysis is lacking.

Purpose of the Study:

• To conduct a bibliometric analysis of research on postural control in Parkinson's disease.
• To identify research status, hotspots, and frontiers in this field over the past decade.
• To provide a reference for future research directions in PD postural control.

Main Methods:

• A systematic search of the Web of Science Core Collection database.
• Identification of 1,295 relevant papers published between December 2011 and December 2021.
• Analysis using the Citespace knowledge graph, examining publication trends, collaborations, and keyword co-occurrence.

Main Results:

• Analysis of annual publication volume, international and institutional collaborations, author networks, journal mapping, co-citation patterns, and keyword evolution.
• Identification of key research themes and emerging trends in postural control research for Parkinson's disease.

Conclusions:

• The study provides a comprehensive overview of the research landscape for postural control in Parkinson's disease.
• Findings highlight current research hotspots and potential future research frontiers.
• This bibliometric analysis serves as a valuable reference for researchers and clinicians in the field.