Evidence map›Paper›PMID 35814352›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2022

Application of an Improved Gas-constrained Source Apportionment Method Using Data Fused Fields: a Case Study in North Carolina, USA.

Ran Huang, Zongrun Li, Cesunica E Ivey, Xinxin Zhai, Guoliang Shi, James A Mulholland, Robert Devlin, Armistead G Russell

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Associations between source-apportioned PMEnvironmental research · 2023
    Article
  2. Evaluation of PMEnvironmental epidemiology (Philadelphia, Pa.) · 2021
    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

8 authors at 4 institutions in 2 countries.

Ran HuangSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Zongrun LiSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Cesunica E IveyDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, California, USA.
Xinxin ZhaiSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Guoliang ShiState Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China.
James A MulhollandSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Robert DevlinCenter for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
Armistead G RussellSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Georgia Institute of Technology · USEnvironmental Protection Agency · USNankai University · CNUniversity of California, Riverside · US

Funding

Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma MorbidityR01ES027892 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H · 2017 to 2021
$2.7M
NIEHS NIH HHS R01 ES027892
6 · The paper itself

Abstract

A number of studies have found differing associations of disease outcomes with PM

Indexed as

CMAQCMBdata fusionPM2.5source apportionment

Identifiers

PMID35814352
PMCPMC9262331
OpenAlexW4214624344

What OpenQuestion holds

Textmetadata
LicenceTDM
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.