Evidence map›Paper›PMID 32012967›Full record

ArticleInternational journal of environmental research and public health2020

Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-based Weighted Co-word Analysis.

Yu Song, Bingrui Liu, Xiaohong Chen, Jia Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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. Exposure and health: A progress update by evaluation and scientometric analysis.Stochastic environmental research and risk assessment : research journal · 2023
    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

4 authors.

Yu SongSchool of Public Administration, Huazhong Agriculture University, Wuhan 430072, China.
Bingrui LiuSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.
Xiaohong ChenInstitute of Big Data and Internet Innovation, Hunan University of Commerce, Changsha 410205, China.
Jia LiuSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this paper is to analyze the characteristics and human effects of atmospheric pollution in the Yangtze River Basin (YRB). An AQI(Air Quality Index)-based weighted co-word method is applied to explore the characteristics of keywords taken from the data, using authoritative media sources and government reports. Hierarchical clustering techniques are utilized to classify and visualize the keywords and display the different types of incidents. The results reveal the following four main clusters: enterprise pollution, coal-burning pollution, traffic pollution, and air pollutants. Cluster 1 is divided into 7 sub-clusters to offer powerful insight into the structural characteristics of industrial activities. This study is one of the first attempts to use a bibliometric approach to visualize the underlying and interconnected sub-clusters from grey data. It also provides an atmospheric pollution mapping for formulating government policies by understanding the human effects of air pollution incidents.

Indexed as

Environmental MonitoringAir PollutantsAir PollutionChinaCluster AnalysisIndustryAir Pollutantsair pollution incidentsclusteringco-word analysisYangtze River Basin

Identifiers

PMID32012967
PMCPMC7037598

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.