Bibliometric Analysis of Trained Immunity in Inflammatory Bone Disease, 2013-2025

A bibliometric and text-mining dataset analyzing literature on trained immunity in inflammatory bone diseases. The core corpus includes 83 records, with an extended corpus of 301 records, sourced from Web of Science Core Collection, Scopus, and PubMed. Author Zihang Zhao published the dataset under a CC-BY-4.0 license in May 2026.

Use Cases

• Track publication trends and growth in the field based on the 2013-2025 comparison window mentioned in the description
• Identify key disease contexts like periodontitis and osteoarthritis based on the disease-context mapping results
• Analyze recurrent literature themes such as myeloid-cell reprogramming and epigenetic remodeling based on the semantic screening outcomes
• Perform cross-database validation of bibliometric records based on the comparison across WoSCC, Scopus, and PubMed

Strengths

• Includes a defined core corpus of 83 records and an extended corpus of 301 records for sensitivity analysis
• Uses a multi-source approach with cross-database comparison across WoSCC, Scopus, and PubMed
• Applies multiple analytical methods including topic modeling, TF-IDF screening, and bridge-network mapping

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small at 31.0 KB, indicating limited scope

Provenance

Source

figshare, authored by Zihang Zhao

Collection Method

Bibliometric and literature-level text-mining analysis using Web of Science Core Collection as primary source.

Time Range

Publication years 2013-2025

Freshness

Last updated 2026-05-20 04:33:06; freshness should be verified

Geography

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