Evidence map›Paper›PMID 30297620›Full record

ArticleInternational journal of environmental research and public health2018

Spatiotemporal Changes in PM

Li Tian, Wei Hou, Jiquan Chen, Chaonan Chen, Xiaojun Pan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PMInternational journal of environmental research and public health · 2019
    Article
  3. Influencing Factors of PMInternational journal of environmental research and public health · 2019
    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

5 authors.

Li TianQianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. tianli@igsnrr.ac.cn.ORCID 0000-0002-0410-1146
Wei HouChina Institute of Surveying and Mapping Science, Beijing 100830, China. houwei@casm.ac.cn.
Jiquan ChenDepartment of Geography, Environment and Spatial Sciences and Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48824, USA. jqchen@msu.edu.ORCID 0000-0003-0761-9458
Chaonan ChenCollege of Environment and Planning, Henan University, Kaifeng 475004, China. cnchen2016@163.com.
Xiaojun PanThe Second Surveying and Mapping Institute of Zhejiang Province, Hangzhou 310012, China. zjpapxj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increases in the extent and level of air pollution in Chinese cities have become a major concern of the public and burden on the government. While ample literature has focused on the status, changes and causes of air pollution (particularly on PM

Indexed as

AdolescentAerosolsAir PollutantsAir PollutionChildChild, PreschoolChinaCitiesEnvironmental MonitoringFemaleHumansMaleParticulate MatterSeasonsAerosolsAir PollutantsParticulate Matterinfants and juvenilesland usePM2.5spatial and temporal variations

Identifiers

PMID30297620
PMCPMC6211054

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.