Evidence map›Paper›PMID 38322875›Full record

ArticleHeliyon2024

Determination of the most significant rubber components influencing the hardness of natural rubber (NR) using various statistical methods.

Lilla Virág, Attila Egedy, Csilla Varga, Gergely Erdős, Szabolcs Berezvai, László Kovács, Zsolt Ulbert

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lilla VirágDepartment of MOL Hydrocarbon and Coal Processing, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, H8200 Veszprém, Egyetem Str. 10, Hungary.
Attila EgedyDepartment of Process Engineering, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, H8200 Veszprém, Egyetem Str. 10, Hungary.
Csilla VargaSustainability Solutions Research Lab, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, H8200 Veszprém, Egyetem Str. 10, Hungary.
Gergely ErdősECon Engineering Kft. H1116, Budapest, Kondorosi út 3, Hungary.
Szabolcs BerezvaiDepartment of Applied Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
László KovácsECon Engineering Kft. H1116, Budapest, Kondorosi út 3, Hungary.
Zsolt UlbertDepartment of Process Engineering, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, H8200 Veszprém, Egyetem Str. 10, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manufacturers use a large number of components in the production of modern rubber products. The selection of the constituents of the rubber recipe is primarily determined by the purpose of use. The different fields of applications of rubbers require the presence of appropriate mechanical properties. In this respect, it can be useful to know which substances forming the rubber recipe have significant influence on the different mechanical properties. In this study, the statistical analysis of the influence of rubber components on the hardness of natural rubber (NR) is proposed based on literature review. Based on the literature data, various statistical analyses, like

Indexed as

Binary decision treeLinear regressionNatural rubberRidge regressionShore a hardnessstatistical analysist-test

Identifiers

PMID38322875
PMCPMC10844055

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.