Evidence map›Paper›PMID 34854007›Full record

ArticleEnvironmental science and pollution research international2022

Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM

Mohsen Soleimani, Zohreh Ebrahimi, Nourollah Mirghaffari, Hossein Moradi, Nasibeh Amini, Kristoffer Gulmark Poulsen, Jan H Christensen

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2022. 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
1.9field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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  5. Chemical characteristics, morphology and source apportionment of PMEnvironmental monitoring and assessment · 2024
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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

7 authors at 2 institutions in 2 countries.

Mohsen SoleimaniDepartment of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran. m.soleimani@iut.ac.ir.ORCID http://orcid.org/0000-0003-0417-4422
Zohreh EbrahimiDepartment of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Nourollah MirghaffariDepartment of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Hossein MoradiDepartment of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Nasibeh AminiDepartment of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Kristoffer Gulmark PoulsenDepartment of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Jan H ChristensenDepartment of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Isfahan University of Technology · IRUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particulate matters (PMs) and their associated chemical compounds such as polycyclic aromatic hydrocarbons (PAHs) are important factors to evaluate air pollution and its health impacts particularly in developing countries. Source identification of these compounds can be used for air quality management. The aim of this study was to identify the sources of PM

Indexed as

Air PollutantsPolycyclic Aromatic HydrocarbonsChinaEnvironmental MonitoringIranNatural GasParticulate MatterRisk AssessmentSeasonsAir PollutantsNatural GasParticulate MatterPolycyclic Aromatic HydrocarbonsAir pollutionMetropolitan areaOrganic pollutantsPositive matrix factorization model

Identifiers

PMID34854007
OpenAlexW3162016037

What OpenQuestion holds

Textmetadata
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.