Assessment of the Dynamic Exposure to PM

Junli Liu, Panli Cai, Jin Dong, Junshun Wang, Runkui Li, Xianfeng Song

Open access · goldAbstract read

In one paragraph

Article in International journal of environmental research and public health, 2021. 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

0.3field-weighted citation impact, top 43% 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, 6 citations in OpenAlex.

A Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PMInternational journal of environmental research and public health · 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

6 authors at 2 institutions in 1 country.

Junli LiuCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

Panli CaiCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

Jin DongCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

Junshun WangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

Runkui LiCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0002-5822-5072

Xianfeng SongCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0001-6871-8199

University of Chinese Academy of Sciences · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total population of Beijing based on cell phone data and assess their dynamic exposure to ambient PM

Indexed as

Air PollutantsAir PollutionCell PhoneBeijingCitiesEnvironmental MonitoringParticulate MatterAir PollutantsParticulate Matteractivity patterncell phoneexposure assessmentfine particulate matterland use regression model

Identifiers

PMID34070868

DOI10.3390/ijerph18115884

PMCPMC8199116

OpenAlexW3164251724

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.