Evidence map›Paper›PMID 34150215›Full record

ArticleJournal of environmental health science & engineering2021

Estimating ground-level PM

Saeed Sotoudeheian, Mohammad Arhami

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of environmental health science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Saeed SotoudeheianDepartment of Civil Engineering, Sharif University of Technology, P.O. Box 11155-9313, Azadi Ave, Tehran, Iran.
Mohammad ArhamiDepartment of Civil Engineering, Sharif University of Technology, P.O. Box 11155-9313, Azadi Ave, Tehran, Iran.
Sharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study we aimed to develop an optimized prediction model to estimate a fine-resolution grid of ground-level PM

methodsDifferent prediction models implementing 3 km AOD products from the MODIS collection 6 and various effective parameters were used to obtain a reliable model to estimate ground-level PM

resultsResults showed LME models without the site effect term were able to explain ground-level variabilities of PM

conclusionsWhile the best shape of LME and GPM had similar and reliable performances in predicting ground-level PM

Indexed as

Aerosol optical depthMeteorological variablesMODISPM2.5Prediction model

Identifiers

PMID34150215
PMCPMC8172751
OpenAlexW3127316670

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.