Evidence map›Paper›PMID 36673805›Full record

ArticleInternational journal of environmental research and public health2023

Concentration Characteristics and Correlations with Other Pollutants of Atmospheric Particulate Matter as Affected by Relevant Policies.

Hong Song, Yuhang Dong, Jiayu Yang, Xin Zhang, Xingxin Nie, Yuesheng Fan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
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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

6 authors.

Hong SongSchool of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Yuhang DongSchool of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Jiayu YangSchool of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Xin ZhangSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0000-0003-3073-9810
Xingxin NieSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Yuesheng FanSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increase in global environmental pollution, it is important to understand the concentration characteristics and correlations with other pollutants of atmospheric particulate matter as affected by relevant policies. The data presented in this paper were obtained at monitoring stations in Xi'an, China, in the years from 2016 to 2020, and the spatial distribution characteristics of the mass and quantity concentrations of particulate matter in the atmosphere, as well as its correlation with other pollutants, were analyzed in depth. The results showed that the annual average concentrations of PM

Indexed as

Air PollutantsAir PollutionEnvironmental PollutantsChinaEnvironmental MonitoringHumansParticulate MatterPolicySeasonsAir PollutantsEnvironmental PollutantsParticulate Mattercorrelationdistribution characteristicsmodelparticulate matterXi’an

Identifiers

PMID36673805
PMCPMC9858673

What OpenQuestion holds

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LicenceCC BY
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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.