Table 3_Mapping the knowledge landscape of Pseudomonas aeruginosa biofilm-mediated drug re

From 2014 to 2025, this dataset provides a bibliometric analysis of 6,537 publications on Pseudomonas aeruginosa biofilm-mediated antimicrobial resistance, supplemented by a review of 6 published clinical studies and 18 registered trials. The analysis maps global research output, collaboration networks, and keyword trends. It was authored by Peng Zhao and uploaded to figshare in June 2026.

Use Cases

• Analyze global research trends and collaboration networks based on publication metadata from 2014-2025.
• Identify emerging research hotspots and keyword clusters based on the bibliometric analysis results.
• Map the translational pipeline from research to clinical trials based on the included clinical study and trial data.
• Benchmark country-level research productivity and influence based on the reported output from China, the United States, and India.

Strengths

• Bibliometric analysis is based on 6,537 publications, providing a substantial data foundation.
• Includes a supplementary review of 6 published clinical studies and 18 registered interventional trials.
• Covers a defined time period from 2014 to 2025, enabling temporal trend analysis.

Limitations

• The dataset is a 22.4 KB document; the underlying bibliometric and clinical data are not provided in a structured, machine-readable format.
• Column-level documentation is absent; field semantics must be inferred from the document text.
• Row count for the primary publication data is unknown, which may limit suitability assessment for computational analysis.

Provenance

Source

Publications retrieved from Web of Science Core Collection and Scopus.

Collection Method

Bibliometric analysis and narrative review of clinical studies/trials.

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.