Evidence map›Paper›PMID 33846862›Full record

ArticleEnvironmental monitoring and assessment2021

A neural network-based method for modeling PM 2.5 measurements obtained from the surface particulate matter network.

Nnaemeka Onyeuwaoma, Daniel Okoh, Bonaventure Okere

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2021. 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. Ambient PMCurrent environmental health reports · 2026
    Review
  2. Article
  3. CTBP1-AS2 promoted non-small cell lung cancer progression via sponging the miR-623/MMP3 axis.Environmental science and pollution research international · 2022
    Article
  4. Article
  5. 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

3 authors.

Nnaemeka OnyeuwaomaNASRDA-Center for Basic Space Science, University of Nigeria, Nsukka, Nigeria. emekadonn@gmail.com.
Daniel OkohNASRDA-Center for Atmospheric Research, Anyigba, Nigeria.
Bonaventure OkereNASRDA-Center for Basic Space Science, University of Nigeria, Nsukka, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution is a global problem; hence, many countries devoted lots of resources towards its study and possible eradication. The major parameter indicator for air quality is the particulate matter (PM). These particles, especially PM

Indexed as

Air PollutantsAir PollutionAerosolsAfrica, NorthernEnvironmental MonitoringNeural Networks, ComputerNigeriaParticulate MatterAerosolsAir PollutantsParticulate MatterAerosolsArtificial neural networkMeteorologyParticulate matterPressure

Identifiers

PMID33846862
PMCPMC8041022

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.