Evidence map›Paper›PMID 40494972›Full record

ArticleEnvironmental science and pollution research international2025

The variation in the amount of black carbon particles deposited on leaves at different positions in the canopy of mature Cornus florida and related factors.

Kei Takahashi, Akari Ohta, Hiroyuki Sase, Naoto Murao, Masahiro Yamaguchi, Hisashi Murakami, Satoshi Nakaba, Kaoruko Mizukawa, Hideshige Takada, Makoto Watanabe and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science and pollution research international, 2025. 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

11 authors.

Kei TakahashiUnited Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Akari OhtaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Hiroyuki SaseAsia Center for Air Pollution Research, Niigata, Niigata, 950-2144, Japan.
Naoto MuraoGraduate School of Engineering, Hokkaido University, Sapporo, Hokkaido, 060-8628, Japan.
Masahiro YamaguchiGraduate School of Fisheries and Environmental Sciences, Nagasaki University, Nagasaki, Nagasaki, 852-8521, Japan.
Hisashi MurakamiInstitute of Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan.
Satoshi NakabaInstitute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Kaoruko MizukawaInstitute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Hideshige TakadaInstitute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Makoto WatanabeInstitute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan.
Takeshi IzutaInstitute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-8509, Japan. izuta@cc.tuat.ac.jp.

Funding

Japan Society for the Promotion of Science JP15K00619
6 · The paper itself

Abstract

In urban areas, black carbon (BC) particles with an aerodynamic diameter of 2.5 µm or less (PM

Indexed as

Air PollutantsCarbonCornusParticulate MatterPlant LeavesSootEnvironmental MonitoringParticle SizeAir PollutantsCarbonParticulate MatterSootBlack carbon (BC)Cornus florida L.HydrophobicityParticulate matterRemoval ability of atmospheric BC particlesUrban air pollutionUrban greening

Identifiers

PMID40494972
PMCPMC12202546

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.