ArticlePathogens (Basel, Switzerland)2017
Opportunistic Pathogens and Microbial Communities and Their Associations with Sediment Physical Parameters in Drinking Water Storage Tank Sediments.
Article in Pathogens (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 41 citations in OpenAlex.
- Premise Plumbing "CT" (PPCT) as a Control Parameter for Opportunistic Pathogens.ACS ES&T water · 2026Article
- Biofilm and sediment phases as key components of microbial community dynamics within secondary drinking water distribution systems.BMC microbiology · 2026Article
- Genetic Classification of a Novel Genotype of the GenusTropical medicine and infectious disease · 2026Article
- Divergent Bacterial Communities in Water and Sediment of Chlorinated Drinking Water Storage Tanks.ACS ES&T water · 2026Article
- Impact of material properties for improved Pseudomonas aeruginosa biofilm inactivation with 280 nm UV LEDs.Scientific reports · 2025Article
- Physical and compositional characteristics of drinking water storage tank sediment.AWWA water science · 2024Article
- Opportunistic Pathogens in Drinking Water Distribution Systems-A Review.Microorganisms · 2024Review
- Field- and Pilot-Scale Approaches to Assess Finished Water Storage Tanks.Journal - American Water Works Association · 2023Article
- Article
- Legionella and other opportunistic pathogens in full-scale chloraminated municipal drinking water distribution systems.Water research · 2021Article
- Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine.ACS ES&T water · 2021Article
- Implications of Climate Change: How Does Increased Water Temperature Influence Biofilm and Water Quality of Chlorinated Drinking Water Distribution Systems?Frontiers in microbiology · 2021Article
- The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water.Frontiers in microbiology · 2021Article
- Review
- Replicable simulation of distal hot water premise plumbing using convectively-mixed pipe reactors.PloS one · 2020Article
- Nontuberculous mycobacteria in drinking water systems - the challenges of characterization and risk mitigation.Current opinion in biotechnology · 2019Review
- Article
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 at 1 institution in 1 country.
Funding
Abstract
The occurrence and densities of opportunistic pathogens (OPs), the microbial community structure, and their associations with sediment elements from eight water storage tanks in Ohio, West Virginia, and Texas were investigated. The elemental composition of sediments was measured through X-ray fluorescence (XRF) spectra. The occurrence and densities of OPs and amoeba hosts (i.e.,
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.