Evidence map›Paper›PMID 29043107›Full record

ArticlePeerJ2017

The intervals method: a new approach to analyse finite element outputs using multivariate statistics.

Jordi Marcé-Nogué, Soledad De Esteban-Trivigno, Thomas A Püschel, Josep Fortuny

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. The relationship between form and function of the carnivore mandible.Anatomical record (Hoboken, N.J. : 2007) · 2026
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  16. Was the Devonian placodermRoyal Society open science · 2020
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  17. An eye for a tooth:PeerJ · 2020
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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 at 3 institutions in 3 countries.

Jordi Marcé-NoguéCentrum für Naturkunde, University of Hamburg, Hamburg, Germany.
Soledad De Esteban-TrivignoVirtual Palaeontology, Institut Català de Paleontologia, Bellaterra, Spain.
Thomas A PüschelSchool of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom.
Josep FortunyVirtual Palaeontology, Institut Català de Paleontologia, Bellaterra, Spain.
Institut Català de Paleontologia Miquel Crusafont · ESUniversität Hamburg · DEUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this paper, we propose a new method, named the intervals' method, to analyse data from finite element models in a comparative multivariate framework. As a case study, several armadillo mandibles are analysed, showing that the proposed method is useful to distinguish and characterise biomechanical differences related to diet/ecomorphology.

methodsThe intervals' method consists of generating a set of variables, each one defined by an interval of stress values. Each variable is expressed as a percentage of the area of the mandible occupied by those stress values. Afterwards these newly generated variables can be analysed using multivariate methods.

resultsApplying this novel method to the biological case study of whether armadillo mandibles differ according to dietary groups, we show that the intervals' method is a powerful tool to characterize biomechanical performance and how this relates to different diets. This allows us to positively discriminate between specialist and generalist species. DISCUSSION: We show that the proposed approach is a useful methodology not affected by the characteristics of the finite element mesh. Additionally, the positive discriminating results obtained when analysing a difficult case study suggest that the proposed method could be a very useful tool for comparative studies in finite element analysis using multivariate statistical approaches.

Indexed as

ArmadillosBiomechanicsChewing mechanicsCingulataFinite element analysisMultivariate analysis

Identifiers

PMID29043107
PMCPMC5642245
OpenAlexW2763388670

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.