Evidence map›Paper›PMID 39351367›Full record

ArticlePeerJ2024

Impact of atmospheric particulate matter retention on physiological characters of five plant species under different pollution levels in Zhengzhou.

Dan He, Jiangqin Yuan, Runze Lin, Dongbo Xie, Yifei Wang, Gunwoo Kim, Yakai Lei, Yonghua Li

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Dan He *College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, Henan, China.
Jiangqin Yuan *College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, Henan, China.
Runze LinLandscape Architecture Department, Huazhong Agricultural University, Wuhan, Hubei, China.
Dongbo XieResearch Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China.
Yifei WangCollege of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, Henan, China.
Gunwoo KimGraduate School of Urban Studies, Hanyang University, Seoul, Republic of South Korea.
Yakai LeiCollege of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, Henan, China.
Yonghua LiCollege of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atmospheric particulate matter (PM) pollution has become a major environmental risk, and green plants can mitigate air pollution by regulating their enzymatic activity, osmoregulatory substances, photosynthetic pigments, and other biochemical characteristics. The present investigation aims to evaluate the mitigation potential of five common evergreen tree species (

Indexed as

Air PollutantsParticulate MatterPhotosynthesisAir PollutionChinaChlorophyllDustEuonymusLigustrumPlant LeavesTreesAir PollutantsChlorophyllDustParticulate MatterAir pollutionDust retentionLandscape plantsParticulate matterPhysiological response

Identifiers

PMID39351367
PMCPMC11441390

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.