Evidence map›Paper›PMID 38400479›Full record

ArticleSensors (Basel, Switzerland)2024

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey.

Tugce Pekdogan, Mihaela Tinca Udriștioiu, Hasan Yildizhan, Arman Ameen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Tugce PekdoganDepartment of Architecture, Faculty of Architecture and Design, Adana Alparslan Türkeş Science and Technology University, Adana 46278, Turkey.ORCID 0000-0002-1916-9434
Mihaela Tinca UdriștioiuDepartment of Physics, Faculty of Sciences, University of Craiova, 200585 Craiova, Romania.ORCID 0000-0002-5811-5930
Hasan YildizhanDepartment of Energy Systems Engineering, Adana Alparslan Türkeş Science and Technology University, Adana 46278, Turkey.
Arman AmeenDepartment of Building Engineering, Energy Systems and Sustainability Science, University of Gävle, 801 76 Gävle, Sweden.ORCID 0000-0002-8349-6659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution significantly threatens human health and natural ecosystems and requires urgent attention from decision makers. The fight against air pollution begins with the rigorous monitoring of its levels, followed by intelligent statistical analysis and the application of advanced machine learning algorithms. To effectively reduce air pollution, decision makers must focus on reducing primary sources such as industrial plants and obsolete vehicles, as well as policies that encourage the adoption of clean energy sources. In this study, data analysis was performed for the first time to evaluate air pollution based on the SPSS program. Correlation coefficients between meteorological parameters and particulate matter concentrations (PM

Indexed as

Air PollutionEcosystemEnvironmental MonitoringHumansParticulate MatterRomaniaTurkeyParticulate Matterair pollutionecosystemsmonitoringPM sensorsstatistical analysis

Identifiers

PMID38400479
PMCPMC10892254

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.