Evidence map›Paper›PMID 38547454›Full record

ArticleEnvironmental science & technology2024

Uranium Biogeochemistry in the Rhizosphere of a Contaminated Wetland.

Daniel I Kaplan, Maxim I Boyanov, Nathaniel A Losey, Peng Lin, Chen Xu, Edward J O'Loughlin, Peter H Santschi, Wei Xing, Wendy W Kuhne, Kenneth M Kemner

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Daniel I KaplanSavannah River Ecology Laboratory, University of Georgia, Aiken, South Carolina 29802, United States.ORCID 0000-0002-1019-8386
Maxim I BoyanovArgonne National Laboratory, Lemont, Illinois 60439, United States.ORCID 0000-0001-8758-5248
Nathaniel A LoseySavannah River National Laboratory, Aiken, South Carolina 29808, United States.
Peng LinSavannah River Ecology Laboratory, University of Georgia, Aiken, South Carolina 29802, United States.
Chen XuMarine & Coastal Environmental Science, Texas A&M University - Galveston, Galveston, Texas 77553, United States.
Edward J O'LoughlinArgonne National Laboratory, Lemont, Illinois 60439, United States.ORCID 0000-0003-1607-9529
Peter H SantschiMarine & Coastal Environmental Science, Texas A&M University - Galveston, Galveston, Texas 77553, United States.ORCID 0000-0001-8188-7691
Wei XingSavannah River Ecology Laboratory, University of Georgia, Aiken, South Carolina 29802, United States.
Wendy W KuhneSavannah River National Laboratory, Aiken, South Carolina 29808, United States.
Kenneth M KemnerArgonne National Laboratory, Lemont, Illinois 60439, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine if U sediment concentrations in a U-contaminated wetland located within the Savannah River Site, South Carolina, were greater in the rhizosphere than in the nonrhizosphere. U concentrations were as much as 1100% greater in the rhizosphere than in the nonrhizosphere fractions; however and importantly, not all paired samples followed this trend. Iron (but not C, N, or S) concentrations were significantly enriched in the rhizosphere. XAS analyses showed that in both sediment fractions, U existed as UO

Indexed as

Ferric CompoundsUraniumGeologic SedimentsIronOxidation-ReductionOxidesRhizosphereRNA, Ribosomal, 16SWetlandsFerric CompoundsIronOxidesRNA, Ribosomal, 16SUranium16S rRNAoxidation staterootsspeciationXAFS

Identifiers

PMID38547454
PMCPMC11008245

What OpenQuestion holds

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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.