Evidence map›Paper›PMID 40460173›Full record

ArticlePloS one2025

Atmospheric pollution in Ulaanbaatar: Persistence and long-run trends.

Ariundelger Ariunsaikhan, Chultem Batbold, Sonomdagva Chonokhuu, Luis Alberiko Gil-Alana

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2025. 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
–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

0 citing papers in PubMed.

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

4 authors.

Ariundelger AriunsaikhanSocial Science of Doctoral School, University of Lodz, Poland.
Chultem BatboldSchool of Engineering and Technology, National University of Mongolia, Ulaanbaatar, Mongolia.
Sonomdagva ChonokhuuSchool of Engineering and Technology, National University of Mongolia, Ulaanbaatar, Mongolia.
Luis Alberiko Gil-AlanaUniversity of Navarra, NCID, DATAI, Pamplona, Spain and Universidad Francisco de Vitoria, Madrid, Spain.ORCID 0000-0002-5760-3123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the presence of long-run trends and persistence in various pollutants in the city of Ulaanbaatar, Mongolia using fractional integration. Using daily data from January 1st, 2022 until May 31st, 2024 we investigate the statistical properties of four pollutants, namely, NO2, SO2, PM10, and PM2.5. The results indicate the presence of significant negative time trends in the cases of SO2 and PM2.5 and evidence of long memory and mean reverting patterns in all four pollutants. Policy implications of the results obtained are reported at the end of the paper.

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringAtmosphereCitiesHumansMongoliaNitrogen DioxideParticulate MatterSulfur DioxideAir PollutantsNitrogen DioxideParticulate MatterSulfur Dioxide

Identifiers

PMID40460173
PMCPMC12132951

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.