Evidence map›Paper›PMID 38760440›Full record

ArticleScientific reports2024

Multivariate statistical analysis of bioavailability of heavy metals and mineral characterization in selected species of coastal flora.

Tarla Chudasama, Kiran Dangar, Kamlesh Gadhvi, Suhas Vyas, Dushyant Dudhagara

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Tarla ChudasamaDepartment of Life Sciences, School of Science, Dr. Subhash University, Junagadh, Gujarat, India.ORCID 0000-0003-4495-7800
Kiran DangarSavaj Junagadh Dist. Co-Operative Milk Producers Union Ltd, Junagadh, Gujarat, India.ORCID 0000-0002-5459-8162
Kamlesh GadhviGujarat Forestry Research Foundation, Gandhinagar, Gujarat, India.ORCID 0000-0002-4157-2780
Suhas VyasDepartment of Life Sciences, Bhakta Kavi Narsinh Mehta University, Junagadh, Gujarat, India. vsuhas.13@gmail.com.ORCID 0000-0002-4458-3186
Dushyant DudhagaraDepartment of Life Sciences, Bhakta Kavi Narsinh Mehta University, Junagadh, Gujarat, India.ORCID 0000-0002-6561-1641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a thorough investigation into the concentration of heavy metals and mineral composition within four distinct coastal flora species: Cyperus conglomeratus, Halopyrum mucronatum, Sericostem pauciflorum, and Salvadora persica. Employing rigorous statistical methodologies such as Pearson coefficient correlation, principal component analysis (PCA), analysis of variance (ANOVA), and interclass correlation (ICC), we aimed to elucidate the bioavailability of heavy metals, minerals, and relevant physical characteristics. The analysis focused on essential elements including copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg

Indexed as

Metals, HeavyMineralsBiological AvailabilityEcosystemMultivariate AnalysisPrincipal Component AnalysisMetals, HeavyMineralsBioavailabilityCoastal floraEnvironmental monitoringHeavy metalsMineral compositionPrincipal component analysis (PCA)

Identifiers

PMID38760440
PMCPMC11101636

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Registered trials

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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.