Bibliometric Analysis of Electroacupuncture for Depression Research, 2005–2025

From 2005 to 2025, this dataset contains a bibliometric and visual analysis of 317 studies on electroacupuncture for depression. The analysis was conducted by Xuyang Feng using data from the Web of Science Core Collection and PubMed, with results visualized using SCImago Graphica, CiteSpace, and VOSviewer. It identifies publication trends, key contributors, and thematic shifts in the research field.

Use Cases

• Analyze publication growth trends based on the annual publication counts from 2005 to 2025.
• Map international collaboration networks based on the country/region and institutional affiliation data.
• Identify research theme evolution based on the high-frequency and burst keyword analysis (e.g., from 'randomized controlled trial' to 'neurogenesis').
• Profile leading contributors based on the author and journal analysis mentioned in the results.

Strengths

• Analysis is based on 317 studies from the Web of Science Core Collection.
• Covers a 20-year time range from 2005 to 2025.
• Uses multiple analysis tools (SCImago Graphica, CiteSpace, VOSviewer) and includes PubMed for comparative analysis.

Limitations

• The dataset is a 141.5 KB DOCX file, which is a very small document, not the underlying raw bibliographic records.
• Column-level documentation for any potential tabular data within the document is absent.
• The description does not specify the exact date range of the literature search within 2005–2025.

Provenance

Source

Web of Science Core Collection, with PubMed as a supplementary source.

Collection Method

Bibliometric retrieval and analysis using specified software tools.

Time Range

2005–2025

Freshness

Last updated 2026-04-28 05:28:04.

Geography

Global, with China identified as the leading contributor.