ArticleAerosol and air quality research2018
On the Morphology and Composition of Particulate Matter in an Urban Environment.
Article in Aerosol and air quality research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
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.
Who cites it
26 citing papers in PubMed.
- Berberine shows potential in mitigating PMApoptosis : an international journal on programmed cell death · 2026Article
- Article
- Foliar image-based characterization of airborne particulate matter in an urban area and its implications for remediation.Scientific reports · 2025Article
- How air pollution fuels respiratory infections in children: current insights.Frontiers in public health · 2025Review
- Portable Sensors for Dynamic Exposure Assessments in Urban Environments: State of the Science.Sensors (Basel, Switzerland) · 2024Article
- An Insight on Microfluidic Organ-on-a-Chip Models for PMACS omega · 2024Review
- Effects of PMToxics · 2024Article
- Chemical characteristics, morphology and source apportionment of PMEnvironmental monitoring and assessment · 2024Article
- Wintertime investigation of PMScientific reports · 2024Article
- Ambient atmospheric PM worsens mouse lung injury induced by influenza A virus through lysosomal dysfunction.Respiratory research · 2023Article
- Morphological, Mineralogical, and Biochemical Characteristics of Particulate Matter in Three Size Fractions (PMACS omega · 2023Article
- Nanostructured Bioaerogels as a Potential Solution for Particulate Matter Pollution.Gels (Basel, Switzerland) · 2023Review
- Physico-chemical characterization of indoor settled dust in Children's microenvironments in Ikeja and Ota, Nigeria.Heliyon · 2023Article
- Characteristics and Risk Assessment of Environmentally Persistent Free Radicals (EPFRs) of PMInternational journal of environmental research and public health · 2023Article
- PMEnvironmental geochemistry and health · 2022Article
- Identification and classification of particle contaminants on photomasks based on individual-particle Raman scattering spectra and SEM images.RSC advances · 2022Article
- Integrative analysis to explore the biological association between environmental skin diseases and ambient particulate matter.Scientific reports · 2022Article
- Characterization of Burning Behaviors and Particulate Matter Emissions of Crop Straws Based on a Cone Calorimeter.Materials (Basel, Switzerland) · 2021Article
- Article
- Particulate matter (PMEnvironmental pollution (Barking, Essex : 1987) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Particulate matter (PM) plays a vital role in altering air quality, human health, and climate change. There are sparse data relevant to PM characteristics in urban environments of the Middle East, including Peshawar city in Pakistan. This work reports on the morphology and composition of PM in two size fractions (PM
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What OpenQuestion holds
Registered trials
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.