Evidence map›Paper›PMID 31115821›Full record

ArticleEnvironmental science and pollution research international2019

Comparison of PM

Pengchuan Lin, Wanqing He, Lei Nie, James J Schauer, Yuqin Wang, Shujian Yang, Yuanxun Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. 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
1.7field-weighted citation impact, top 18% of its field
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, 31 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 2 countries.

Pengchuan LinCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Wanqing HeBeijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Environmental Protection, Beijing, 100037, China.
Lei NieBeijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Environmental Protection, Beijing, 100037, China.
James J SchauerEnvironmental Chemistry and Technology Program, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Yuqin WangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Shujian YangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yuanxun ZhangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. yxzhang@ucas.ac.cn.
Beijing Municipal Ecology and Environment Bureau · CNUniversity of Chinese Academy of Sciences · CNInstitute of Urban Environment · CNShaanxi University of Science and Technology · CNUniversity of Wisconsin–Madison · US

Funding

Public Welfare Project of Ministry of Environmental Protection of China 201409017
6 · The paper itself

Abstract

The number of restaurants is increasing rapidly in recent years, especially in urban cities with dense populations. Particulate matter emitted from commercial and residential cooking is a significant contributor to both indoor and outdoor aerosols. The PM

Indexed as

Environmental MonitoringAerosolsAir PollutantsAlkanesCarbonChinaCookingParticulate MatterPolycyclic Aromatic HydrocarbonsRestaurantsAerosolsAir PollutantsAlkanesCarbonParticulate MatterPolycyclic Aromatic HydrocarbonsChinese cookingInfluential factorsPM2.5 emissionsSignificance rankingSource profile species

Identifiers

PMID31115821
OpenAlexW2945061818

What OpenQuestion holds

Textmetadata
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.