Evidence map›Paper›PMID 38063862›Full record

ArticleBulletin of environmental contamination and toxicology2023

Elucidating Best Geospatial Estimation Method Applied to Environmental Sciences.

María de Lourdes Berrios Cintrón, Parya Broomandi, Jafet Cárdenas-Escudero, Jorge O Cáceres, David Galán-Madruga

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bulletin of environmental contamination and toxicology, 2023. 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
–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

0 citing papers in PubMed.

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

5 authors.

María de Lourdes Berrios Cintrón *Department of Health Sciences, Inter American University of Puerto Rico, Barranquitas Campus, Bo. Helechal Street 156, Barranquitas, Puerto Rico.
Parya BroomandiDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Astana, 010000, Kazakhstan.
Jafet Cárdenas-EscuderoAnalytical Chemistry Department, FCNET, University of Panama, University City, University Mail, Panama City, 3366, Panama.
Jorge O CáceresLaser Chemistry Research Group, Department of Analytical Chemistry, Faculty of Chemistry, Complutense University of Madrid, Plaza de Ciencias 1, Madrid, 28040, Spain.
David Galán-Madruga *National Reference Laboratory of Air Quality, National Centre for Environmental Health (CNSA), Carlos III Health Institute (ISCIII), Ctra. Majadahonda a Pozuelo, Madrid, 28222, Spain. david.galan@isciii.es.ORCID http://orcid.org/0000-0002-7890-4611

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to assess and identify the most suitable geospatial interpolation algorithm for environmental sciences. The research focuses on evaluating six different interpolation methods using annual average PM

Indexed as

Air PollutionEnvironmental ScienceAlgorithmsEnvironmental MonitoringSpatial AnalysisAir QualityGeostatistical EstimationInterpolation Algorithms and Environmental SciencesPM10 Particles

Identifiers

PMID38063862
PMCPMC10709237

What OpenQuestion holds

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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.