Evidence map›Paper›PMID 34421839›Full record

ArticleFrontiers in microbiology2021

A Combined Digital PCR and Next Generation DNA-Sequencing Based Approach for Tracking Nearshore Pollutant Dynamics Along the Southwest United States/Mexico Border.

Amity G Zimmer-Faust, Joshua A Steele, Xianyi Xiong, Christopher Staley, Madison Griffith, Michael J Sadowsky, Margarita Diaz, John F Griffith

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 2 countries.

Amity G Zimmer-FaustSouthern California Coastal Water Research Project, Costa Mesa, CA, United States.
Joshua A SteeleSouthern California Coastal Water Research Project, Costa Mesa, CA, United States.
Xianyi XiongBioTechnology Institute, University of Minnesota Twin Cities, Saint Paul, MN, United States.
Christopher StaleyBioTechnology Institute, University of Minnesota Twin Cities, Saint Paul, MN, United States.
Madison GriffithSouthern California Coastal Water Research Project, Costa Mesa, CA, United States.
Michael J SadowskyDepartment of Soil, Water, and Climate, University of Minnesota Twin Cities, Saint Paul, MN, United States.
Margarita DiazProyecto Fronterizo de Educación Ambiental, A.C., Tijuana, Mexico.
John F GriffithSouthern California Coastal Water Research Project, Costa Mesa, CA, United States.
Southern California Coastal Water Research Project · USBiotechnology Institute · USSecretariat of Public Education · MXUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocean currents, multiple fecal bacteria input sources, and jurisdictional boundaries can complicate pollution source tracking and associated mitigation and management efforts within the nearshore coastal environment. In this study, multiple microbial source tracking tools were employed to characterize the impact and reach of an ocean wastewater treatment facility discharge in Mexico northward along the coast and across the Southwest United States- Mexico Border. Water samples were evaluated for fecal indicator bacteria (FIB),

Indexed as

16S ribosomal DNA analysiscoastal waterdroplet digital PCRmicrobial source trackingwastewater

Identifiers

PMID34421839
PMCPMC8377738
OpenAlexW3190095591

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.