Evidence map›Paper›PMID 32642902›Full record

ArticleEnvironmental science and pollution research international2020

Chemical footprints of harmattan dust and traffic corridor particulates monitored at two environmentally distinct geopolitical zones in Nigeria.

Olawale E Abiye, Olaniran J Matthew, Akeem B Rabiu, Godwin C Ezeh, Oluseyi E Akinola, Gunchin Gerelmaa, Chinonso E Ugwumadu, Moufthou B Latif

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Article in Environmental science and pollution research international, 2020. 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. Spatial-temporal patterns of ambient fine particulate matter (PMEnvironmental research letters : ERL [Web site] · 2021
    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

8 authors.

Olawale E AbiyeCentre for Energy Research and Development, Obafemi Awolowo University, Ile-Ife, Nigeria. waleabiye@gmail.com.ORCID http://orcid.org/0000-0002-8601-2242
Olaniran J MatthewInstitute of Ecology and Environmental Studies, Obafemi Awolowo University, Ile-Ife, Nigeria.
Akeem B RabiuCentre for Atmospheric Research, Kogi State University Campus, Anyigba, Nigeria.
Godwin C EzehCentre for Energy Research and Development, Obafemi Awolowo University, Ile-Ife, Nigeria.
Oluseyi E AkinolaDepartment of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria.
Gunchin GerelmaaVienna University of Technology Atominstitut, Vienna, Austria.
Chinonso E UgwumaduCentre for Energy Research and Development, Obafemi Awolowo University, Ile-Ife, Nigeria.
Moufthou B LatifCentre for Energy Research and Development, Obafemi Awolowo University, Ile-Ife, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Harmattan dust and traffic-related pollution have been a serious environmental concern in the West African sub-region. In order to further contribute to the understanding of ambient levels of atmospheric pollution and chemical composition in the region, this study monitored harmattan dust and traffic-related particulate matter at four locations across southwestern (Ile-Ife) and north-western (Zaria) geo-political zones of Nigeria. The collected samples were characterized for their chemical composition using Energy-Dispersive X-Ray Fluorescence spectrometer equipped with an optimized secondary target x-ray excitation conditions (Al, CaF

Indexed as

Africa, NorthernAir PollutantsDustEnvironmental MonitoringNigeriaParticulate MatterReproducibility of ResultsAir PollutantsDustParticulate MatterDetection limitsHYSPLITParticulatesTrafficUncertaintyXRF

Identifiers

What OpenQuestion holds

Textmetadata
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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.