Evidence map›Paper›PMID 28159789›Full record

ArticleApplied and environmental microbiology2017

Cross-Comparison of Human Wastewater-Associated Molecular Markers in Relation to Fecal Indicator Bacteria and Enteric Viruses in Recreational Beach Waters.

B Hughes, D J Beale, P G Dennis, S Cook, W Ahmed

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
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  11. Microbial Source Tracking as a Method of Determination of Beach Sand Contamination.International journal of environmental research and public health · 2022
    Article
  12. A reduced graphene oxide-FeChemosphere · 2022
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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 at 2 institutions in 1 country.

B HughesSchool of Agriculture and Food Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
D J BealeCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
P G DennisSchool of Agriculture and Food Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
S CookCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
W AhmedCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia Warish.Ahmed@csiro.au.
CSIRO Land and Water · AUAgriculture and Food · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of human wastewater contamination in recreational waters is of critical importance to regulators due to the risks posed to public health. To identify such risks, human wastewater-associated microbial source tracking (MST) markers have been developed. At present, however, a greater understanding of the suitability of these markers for the detection of diluted human wastewater in environmental waters is necessary to predict risk. Here, we compared the process limit of detection (PLOD) and process limit of quantification (PLOQ) of six human wastewater-associated MST markers (

Indexed as

Bathing BeachesWater MicrobiologyWater PollutionAustraliaBacteriaBacteroidesEnterovirusEnvironmental MonitoringEscherichiaFecesGenetic MarkersHumansLimit of DetectionMethanobrevibacterQueenslandSeawaterGenetic MarkersWastewaterbeach waterenteric virusesfecal indicator bacteriahuman wastewatermicrobial source tracking

Identifiers

PMID28159789
PMCPMC5377505
OpenAlexW2584315927

What OpenQuestion holds

Textmetadata
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.