Evidence map›Paper›PMID 34041655›Full record

ArticleEnvironmental geochemistry and health2021

Assessment of water contamination by potentially toxic elements in mangrove lagoons of the Red Sea, Saudi Arabia.

Dhafer Ali Alamri, Samir G Al-Solaimani, Refaat A Abohassan, Jörg Rinklebe, Sabry M Shaheen

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2021. 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. Article
  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

5 authors.

Dhafer Ali AlamriDepartment of Arid Land Agriculture, Faculty of Meteorology, Environment, and Arid Land Agriculture, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Samir G Al-SolaimaniDepartment of Arid Land Agriculture, Faculty of Meteorology, Environment, and Arid Land Agriculture, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. salsolaimani@hotmail.com.
Refaat A AbohassanDepartment of Arid Land Agriculture, Faculty of Meteorology, Environment, and Arid Land Agriculture, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Jörg RinklebeLaboratory of Soil and Groundwater-Management, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water and Waste Management, University of Wuppertal, Pauluskirchstraße 7, 42285, Wuppertal, Germany.ORCID https://orcid.org/0000-0001-7404-1639
Sabry M ShaheenDepartment of Arid Land Agriculture, Faculty of Meteorology, Environment, and Arid Land Agriculture, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. shaheen@uni-wuppertal.de.ORCID https://orcid.org/0000-0002-5618-8175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangrove (Avicennia marina) forests in the Red Sea cost have great concern from environmental, biological, economic, and social points of view. Therefore, assessing water contamination in this ecosystem is worth to be investigated. Consequently, here we aimed to examine the levels of salinity, acidity, and the total content of Fe, Mn, Cu, Zn, Cd, Cr, Ni, and Pb in water samples collected from the upper, middle, and lower part of three mangrove lagoons (i.e., Al-Shuaiba, Yanbu, and Jeddah), Red Sea, Saudi Arabia. The total metal content (µg L

Indexed as

Metals, HeavyWater Pollutants, ChemicalEcosystemEnvironmental MonitoringGeologic SedimentsHumansIndian OceanSaudi ArabiaMetals, HeavyWater Pollutants, ChemicalHeavy metalsHuman and environmental healthMangrove forestsRisk assessmentWater pollution

Identifiers

PMID34041655
PMCPMC8528742

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.