Evidence map›Paper›PMID 33044693›Full record

ReviewEnvironmental science and pollution research international2021

Short-term prediction of urban PM

Junwen Chu, Yingchao Dong, Xiaoxia Han, Jun Xie, Xinying Xu, Gang Xie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2021. 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
–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

2 citing papers in PubMed.

  1. A Novel Hybrid Method to Predict PMComputational intelligence and neuroscience · 2022
    Article
  2. The improved activity of CoEnvironmental science and pollution research international · 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.

Junwen ChuDepartment of Automation, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
Yingchao DongDepartment of Automation, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
Xiaoxia HanDepartment of Automation, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China. hanxiaoxia@tyut.edu.cn.
Jun XieCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
Xinying XuDepartment of Automation, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
Gang XieDepartment of Automation, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.

Funding

National Natural Science Foundation of China 21606159Shanxi Provincial Key Research and Development Project 201803D121039
6 · The paper itself

Abstract

PM

Indexed as

Air PollutantsAir PollutionBeijingEnvironmental MonitoringForecastingHumansParticulate MatterAir PollutantsParticulate MatterAir pollution forecastingHybrid modelsModified variational mode decompositionPM2.5 predictionState transition simulated annealing algorithmSupport vector regression

Identifiers

PMID33044693

What OpenQuestion holds

Textmetadata
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.