Evidence map›Paper›PMID 31254074›Full record

ArticleEnvironmental monitoring and assessment2019

Using machine learning to understand the temporal morphology of the PM

Daji Wu, David J Lary, Gebreab K Zewdie, Xun Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Micro- and Nanosized Substances Cause Different Autophagy-Related Responses.International journal of molecular sciences · 2021
    Review
  3. Article
  4. Article
  5. Geospatial technology in environmental health applications.Environmental monitoring and assessment · 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

4 authors.

Daji WuWilliam B. Hanson Center for Space Sciences, The University of Texas at Dallas, 800 W. Campbell Road WT-15, Richardson, TX, 75080, USA. dxw131230@utdallas.edu.ORCID http://orcid.org/0000-0002-1791-1009
David J LaryWilliam B. Hanson Center for Space Sciences, The University of Texas at Dallas, 800 W. Campbell Road WT-15, Richardson, TX, 75080, USA.
Gebreab K ZewdieWilliam B. Hanson Center for Space Sciences, The University of Texas at Dallas, 800 W. Campbell Road WT-15, Richardson, TX, 75080, USA.
Xun LiuWilliam B. Hanson Center for Space Sciences, The University of Texas at Dallas, 800 W. Campbell Road WT-15, Richardson, TX, 75080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PM

Indexed as

Environmental MonitoringMachine LearningAir PollutantsAir PollutionAlgorithmsAsia, EasternHumansLinear ModelsParticulate MatterAir PollutantsParticulate MatterAir pollutionEnsemble learningMachine learningMultiple linear regressionPM2.5

Identifiers

PMID31254074

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.