Evidence map›Paper›PMID 38804290›Full record

ArticleJournal of xenobiotics2024

Heavy Metal(oid)s Contamination and Potential Ecological Risk Assessment in Agricultural Soils.

Muhammad Saleem, David Pierce, Yuqiang Wang, Donald A Sens, Seema Somji, Scott H Garrett

Abstract read
In one paragraph

Article in Journal of xenobiotics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular and Environmental Elucidation of Heavy Metal Transfer inInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Nitrogen fertilizer improvesFrontiers in microbiology · 2025
    Article
  7. 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

6 authors.

Muhammad SaleemDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0002-2540-3266
David PierceDepartment of Chemistry, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0002-5169-8520
Yuqiang WangDepartment of Chemistry, University of North Dakota, Grand Forks, ND 58202, USA.
Donald A SensDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA.
Seema SomjiDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA.
Scott H GarrettDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA.

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Donald A. Sens · 2012 to 2026
$53.0M
NIGMS NIH HHS P20 GM103442
6 · The paper itself

Abstract

Soil pollution caused by heavy metal(oid)s has generated great concern worldwide due to their toxicity, persistence, and bio-accumulation properties. To assess the baseline data, the heavy metal(oid)s, including manganese (Mn), iron (Fe), Cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), lead (Pb), mercury (Hg), chromium (Cr), and cadmium (Cd), were evaluated in surface soil samples collected from the farmlands of Grand Forks County, North Dakota. Samples were digested via acid mixture and analyzed via inductively coupled plasma mass spectrometry (ICP MS) analysis to assess the levels, ecological risks, and possible sources. The heavy metal(oid) median levels exhibited the following decreasing trend: Fe > Mn > Zn > Ni > Cr > Cu > Pb > Co > As > Cd > Hg. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) suggested the main lithogenic source for the studied metal(oid)s. Metal(oid) levels in the current investigation, except Mn, are lower than most of the guideline values set by international agencies. The contamination factor (C

Indexed as

agriculture soilsecological risk assessmentenrichment factor (EF)heavy metalsprincipal component analysis (PCA)

Identifiers

PMID38804290
PMCPMC11130943

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.