ArticleFrontiers in microbiology2017
Simulation of
Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes.PLoS computational biology · 2025Article
- Antibacterial Effect of Phenylboronic Acid onFood technology and biotechnology · 2025Article
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
- A Hamilton principle-based model for diffusion-driven biofilm growth.Biomechanics and modeling in mechanobiology · 2024Article
- Computer simulation study of nutrient-driven bacterial biofilm stratification.Journal of the Royal Society, Interface · 2024Article
- Numerical and experimental investigation of multi-species bacterial co-aggregation.Scientific reports · 2023Article
- The territorial nature of aggression in biofilms.Frontiers in microbiology · 2022Article
- Dishonest Signaling in Microbial Conflicts.Frontiers in microbiology · 2022Article
- Advances in experimental and computational methodologies for the study of microbial-surface interactions at different omics levels.Frontiers in microbiology · 2022Review
- The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art.Foods (Basel, Switzerland) · 2021Review
- The influence of the crowding assumptions in biofilm simulations.PLoS computational biology · 2021Article
- Agent Based Models of Polymicrobial Biofilms and the Microbiome-A Review.Microorganisms · 2021Review
- A Game Theoretic Analysis of the Dual Function of Antibiotics.Frontiers in microbiology · 2021Article
- Manually curated genome-scale reconstruction of the metabolic network of Bacillus megaterium DSM319.Scientific reports · 2019Article
- Challenges of biofilm control and utilization: lessons from mathematical modelling.Journal of the Royal Society, Interface · 2019Article
- A low-complexity metabolic network model for the respiratory and fermentative metabolism of Escherichia coli.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clustered microbial communities are omnipresent in the food industry, e.g., as colonies of microbial pathogens in/on food media or as biofilms on food processing surfaces. These clustered communities are often characterized by metabolic differentiation among their constituting cells as a result of heterogeneous environmental conditions in the cellular surroundings. This paper focuses on the role of metabolic differentiation due to oxygen gradients in the development of
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.