Table 2_Mapping the knowledge landscape of Pseudomonas aeruginosa biofilm-mediated drug re

6,537 publications from Web of Science and Scopus on Pseudomonas aeruginosa biofilm-mediated drug resistance, analyzed bibliometrically. The dataset also includes a supplementary review of 6 published clinical studies and 18 registered interventional trials. Peng Zhao published this analysis on figshare in June 2026 under a CC-BY-4.0 license.

Use Cases

• Mapping global research trends and collaboration networks based on the bibliometric analysis of 6,537 publications.
• Identifying emerging research hotspots like novel antibacterial interventions and functional materials based on keyword clustering analysis.
• Analyzing the clinical translation landscape for anti-biofilm strategies based on the review of 24 clinical studies and trials.
• Tracking the evolution of research focus from mechanistic exploration to translational application as indicated by temporal keyword analysis.

Strengths

• Analysis is based on 6,537 publications from two major academic databases, providing a substantial literature corpus.
• Includes a supplementary clinical component reviewing 24 total clinical studies and registered trials.
• Covers a defined 12-year time range from 2014 to 2025, allowing for trend analysis.

Limitations

• The primary data file is a 20.5 KB DOCX document, suggesting the dataset is a summary report rather than raw bibliometric or trial data.
• Row and column structures for the underlying publication and trial data are unknown, limiting direct computational analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Publications from Web of Science Core Collection and Scopus; clinical trials from unspecified registries.

Collection Method

Bibliometric analysis and supplementary narrative review of published and registered clinical studies.

Time Range

2014-2025

Freshness

Last updated 2026-06-01 04:21:15; freshness should be verified.

Geography

Global, with specific mention of China, the United States, and India as most productive countries.