Evidence map›Paper›PMID 37323923›Full record

ArticleFrontiers in environmental chemistry2023

Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish.

Chris S Eckley, Collin Eagles-Smith, Todd P Luxton, Joel Hoffman, Sarah Janssen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in environmental chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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 3 institutions in 1 country.

Chris S EckleyU.S. EPA, Region 10, Seattle, WA, United States.
Collin Eagles-SmithU.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR, United States.
Todd P LuxtonUS EPA ORD, Center for Environmental Solutions and Emergency Response, Cincinnati, OH, United States.
Joel HoffmanU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, Duluth, MN, United States.
Sarah JanssenU.S. Geological Survey, Mercury Research Lab, Upper Midwest Water Science Center, Madison, WI, United States.
Environmental Protection Agency · USForest and Rangeland Ecosystem Science CenterUnited States Geological Survey · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Ecosystems downstream of mercury (Hg) contaminated sites can be impacted by both localized releases as well as Hg deposited to the watershed from atmospheric transport. Identifying the source of Hg in water, sediment, and fish downstream of contaminated sites is important for determining the effectiveness of source-control remediation actions. This study uses measurements of Hg stable isotopes in soil, sediment, water, and fish to differentiate between Hg from an abandoned Hg mine from non-mine-related sources. The study site is located within the Willamette River watershed (Oregon, United States), which includes free-flowing river segments and a reservoir downstream of the mine. The concentrations of total-Hg (THg) in the reservoir fish were 4-fold higher than those further downstream (>90 km) from the mine site in free-flowing sections of the river. Mercury stable isotope fractionation analysis showed that the mine tailings (δ

Indexed as

abandoned minescontaminated sitesmercuryreservoirsstable isotopes

Identifiers

PMID37323923
PMCPMC10269370
OpenAlexW4319772671

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.