AI Keywords in Dental Research Abstracts Across Geographic Regions

A bibliometric analysis examines the frequency and distribution of AI-influenced keywords in PubMed-indexed dental abstracts. The dataset compares keyword usage across geographic regions, publications, and dental subspecialties. It was authored by Priyanka Porwal and last updated on May 26, 2026.

Use Cases

• Analyze geographic trends in AI terminology adoption based on the regional comparison described.
• Track the frequency of specific AI keywords over time within dental publications.
• Compare AI keyword usage patterns across different dental subspecialties.
• Study the correlation between publication types and the inclusion of AI-influenced keywords.

Strengths

• Data is sourced from PubMed, a major biomedical literature database.
• File size is 1.1 MB, indicating a focused and manageable dataset.
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Bibliometric analysis of PubMed-indexed dental abstracts.

Freshness

Last updated 2026-05-26 10:31:21; freshness should be verified.

Geography

Global (analysis compares geographic regions)