ReviewJournal of bacteriology2026
Dimensional analysis as a tool for biofilm comparative analysis: bridging the interdisciplinary divides.
Review in Journal of bacteriology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Biofilms are the predominant lifestyle for bacteria. Biofilm abundance makes understanding their behavior important for different research domains. These domains can have different information and reporting standards. Information reporting standards have been proposed for some biofilm research methods. Standard methods and consensus standards have also been promulgated. We propose dimensional analysis to encourage abundant information reporting and facilitate comparative analysis. Dimensional analysis utilizes physical system parameters to generate generalizable model data. We review dimensionless quantities that can be applied to biofilm studies. We suggest dimensionless quantities for existing standards, with three examples using dimensional analysis to quantitatively compare literature data.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.