Evidence map›Paper›PMID 39688392›Full record

ArticleMicrobiology spectrum2025

The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season.

Claire M Murphy, Daniel L Weller, Tanzy M T Love, Michelle D Danyluk, Laura K Strawn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Claire M MurphySchool of Food Science, Washington State University Irrigated Agriculture Research and Extension Center, Prosser, Washington, USA.ORCID 0009-0008-4082-6276
Daniel L WellerDepartment of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-7259-6331
Tanzy M T LoveDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
Michelle D DanylukDepartment of Food Science and Human Nutrition, Citrus Research and Education Center, University of Florida, Lake Alfred, Florida, USA.ORCID 0000-0001-5780-7911
Laura K StrawnDepartment of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0002-9523-0081

Funding

USDA | National Institute of Food and Agriculture (NIFA) 2019-51181-30016
6 · The paper itself

Abstract

Fecal contamination of surface waters presents significant human health and environmental risks. While many methods for understanding fecal contamination cannot differentiate between human and animal sources, microbial source tracking (MST) marker methods are used to identify fecal sources. To understand how to best employ MST marker data for managing fecal contamination risks, the present study compiled previously collected MST marker data (

Indexed as

Environmental MonitoringFecesWater MicrobiologyAnimalsBiomarkersDogsHumansNorth AmericaSeasonsSwineWater PollutionBiomarkersfecal contaminationmethodsmicrobial source trackingsurface water

Identifiers

PMID39688392
PMCPMC11792506

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.