ArticleMicrobial genomics2023
High-resolution characterization of short-term temporal variability in the taxonomic and resistome composition of wastewater influent.
Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- The surveillance of antimicrobial resistance in wastewater from a one health perspective: A global scoping and temporal review (2014-2024).One health (Amsterdam, Netherlands) · 2025Article
- A Practical Framework for Environmental Antibiotic Resistance Monitoring in Freshwater Ecosystems.Antibiotics (Basel, Switzerland) · 2025Review
- Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum.Water research · 2024Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Wastewater-based epidemiology (WBE) for population-level surveillance of antimicrobial resistance (AMR) is gaining significant traction, but the impact of wastewater sampling methods on results is unclear. In this study, we characterized taxonomic and resistome differences between single-timepoint-grab and 24 h composites of wastewater influent from a large UK-based wastewater treatment work [WWTW (population equivalent: 223 435)]. We autosampled hourly influent grab samples (
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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.