Evidence map›Paper›PMID 27706054›Full record

ArticleInternational journal of environmental research and public health2016

Real-Time Estimation of Satellite-Derived PM

Tianhao Zhang, Gang Liu, Zhongmin Zhu, Wei Gong, Yuxi Ji, Yusi Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial.International journal of environmental research and public health · 2017
    Article
  3. High Contributions of Secondary Inorganic Aerosols to PMInternational journal of environmental research and public health · 2016
    Article
  4. Ground Level PMInternational journal of environmental research and public health · 2016
    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.

Tianhao ZhangState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. tianhaozhang@whu.edu.cn.
Gang LiuShanghai Institute of Satellite Engineering, Shanghai 201100, China. liugang8243@126.com.
Zhongmin ZhuState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. zhongmin.zhu@whu.edu.cn.
Wei GongState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. weigong@whu.edu.cn.
Yuxi JiState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. jiyuxi_ss@163.com.
Yusi HuangState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. mavis_huang@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The real-time estimation of ambient particulate matter with diameter no greater than 2.5 μm (PM

Indexed as

AerosolsAir PollutantsChinaEnvironmental MonitoringGeographyLinear ModelsParticulate MatterSatellite ImagerySeasonsSpatial RegressionAerosolsAir PollutantsParticulate Matteraerosol optical depthfusion by DT and DBnational-scale PM2.5real-time estimationsemi-physical geographically weighted regression

Identifiers

PMID27706054
PMCPMC5086713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.