Evidence map›Paper›PMID 29340246›Full record

ArticlePeerJ2018

Stat-tracks and mediotypes: powerful tools for modern ichnology based on 3D models.

Matteo Belvedere, Matthew R Bennett, Daniel Marty, Marcin Budka, Sally C Reynolds, Rashid Bakirov

Abstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Matteo BelvedereSection d'Archéologie et Paléontologie, Paléontologie A16, Office de la Culture, Porrentruy, Canton Jura, Switzerland.
Matthew R BennettInstitute for Studies in Landscape and Human Evolution, Faculty of Science and Tecnology, Bournemouth University, Poole, United Kingdom.
Daniel MartySection d'Archéologie et Paléontologie, Paléontologie A16, Office de la Culture, Porrentruy, Canton Jura, Switzerland.
Marcin BudkaInstitute for Studies in Landscape and Human Evolution, Faculty of Science and Tecnology, Bournemouth University, Poole, United Kingdom.
Sally C ReynoldsInstitute for Studies in Landscape and Human Evolution, Faculty of Science and Tecnology, Bournemouth University, Poole, United Kingdom.
Rashid BakirovInstitute for Studies in Landscape and Human Evolution, Faculty of Science and Tecnology, Bournemouth University, Poole, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertebrate tracks are subject to a wide distribution of morphological types. A single trackmaker may be associated with a range of tracks reflecting individual pedal anatomy and behavioural kinematics mediated through substrate properties which may vary both in space and time. Accordingly, the same trackmaker can leave substantially different morphotypes something which must be considered in creating ichnotaxa. In modern practice this is often captured by the collection of a series of 3D track models. We introduce two concepts to help integrate these 3D models into ichnological analysis procedures. The mediotype is based on the idea of using statistically-generated three-dimensional track models (median or mean) of the type specimens to create a composite track to support formal recognition of a ichno type. A representative track (mean and/or median) is created from a set of individual reference tracks or from multiple examples from one or more trackways. In contrast, stat-tracks refer to other digitally generated tracks which may explore variance. For example, they are useful in: understanding the preservation variability of a given track sample; identifying characteristics or unusual track features; or simply as a quantitative comparison tool. Both concepts assist in making ichnotaxonomical interpretations and we argue that they should become part of the standard procedure when instituting new ichnotaxa. As three-dimensional models start to become a standard in publications on vertebrate ichnology, the mediotype and stat-track concepts have the potential to help guiding a revolution in the study of vertebrate ichnology and ichnotaxonomy.

Indexed as

Digital ichnologyDigital reconstructionIchnotaxonomyMediotypeStat-trackVertebrate ichnology

Identifiers

PMID29340246
PMCPMC5767334

What OpenQuestion holds

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Registered trials

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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.