Bibliometric Analysis of Electrical Stimulation Research for Movement Disorders, 2016-2025

Anqi Liu's dataset contains bibliometric data on 2,944 publications related to electrical stimulation therapies for movement disorders, sourced from Web of Science and PubMed. The data includes publication counts, author and institution productivity, journal rankings, and keyword trends from 2016 to 2025. It was created using tools like CiteSpace, VOSviewer, and the bibliometrix R package.

Use Cases

• Mapping global research collaboration networks based on author and institution affiliations.
• Identifying emerging scientific frontiers based on keyword trend analysis like 'plasticity' and 'adaptive closed-loop neuromodulation'.
• Analyzing publication productivity and influence of journals such as 'Movement Disorders'.
• Studying the thematic shift from static symptom management to neural circuit mechanisms described in the analysis.

Strengths

• Includes 2,944 publications, providing a substantial corpus for analysis.
• Covers a defined 10-year time range from 2016 to 2025.
• Identifies specific top contributors, such as the University of Toronto, and foundational authors like Deuschl G.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• The 15.7 KB file size suggests a very limited scope, likely containing summary tables rather than raw bibliographic records.

Provenance

Source

Publications retrieved from Web of Science Core Collection and PubMed.

Collection Method

Bibliometric mapping performed with CiteSpace, VOSviewer, bibliometrix R package, and Microsoft Excel.

Time Range

2016 to 2025

Freshness

Last updated 2026-04-23 05:34:42; freshness should be verified.

Geography

Global coverage, with contributions from 489 countries/regions across six continents; the United States, Germany, and China are highlighted.