Evidence map›Paper›PMID 34337039›Full record

ArticleBioMed research international2021

Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania.

Shovi Furaeli Sawe, Daniel Abel Shilla, John Ferdinand Machiwa

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Shovi Furaeli SaweTanzania Atomic Energy Commission, P O Box, 743 Arusha, Tanzania.
Daniel Abel ShillaDepartment of Aquatic Sciences, University of Dar es Salaam, P O Box, 35064 Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-2252-0536
John Ferdinand MachiwaDepartment of Aquatic Sciences, University of Dar es Salaam, P O Box, 35064 Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-0497-1990
University of Dar es Salaam · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total concentrations of As, Cd, Cr, Cu, Pb, and Zn in sediment samples obtained from Wami Estuary in Tanzania were used to generate contaminant probability density distributions and species sensitivity distributions using the AQUARISK model. Results of tier 1 assessment showed that As, Cd, Cr, Pb, and Zn were not of concern as their measured values and the 99

Indexed as

EcosystemEstuariesModels, StatisticalRisk AssessmentGeographyGeologic SedimentsMetals, HeavyTanzaniaMetals, Heavy

Identifiers

PMID34337039
PMCPMC8289568
OpenAlexW3177949686

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.