ArticleMicrobiology resource announcements2024
ipolygrowth: an R package to calculate individual growth curve parameters from bacterial time series data.
Article in Microbiology resource announcements, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Fragmented but functional: Post-dispersion dynamics and phenotypic variation in dispersed biofilm-associated cells.Biofilm · 2026Article
- Non-redundant cardiolipin synthases shape membrane composition and support stress resilience inbioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The ipolygrowth package is a user-friendly tool that calculates growth curve parameters for time series data from microplate readers. Calculations are based on fourth-degree polynomial functions, which provide an alternative to commonly used sigmoidal models. The package is available for installation through the Comprehensive R Archive Network.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.