Evidence map›Paper›PMID 38313409›Full record

ArticleIntegrative organismal biology (Oxford, England)2024

Sample Size and Geometric Morphometrics Methodology Impact the Evaluation of Morphological Variation.

A D Rummel, E T Sheehy, E R Schachner, B P Hedrick

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Integrative organismal biology (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Opportunities and Challenges in Applying AI to Evolutionary Morphology.Integrative organismal biology (Oxford, England) · 2024
    Review
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.

A D RummelDepartment of BioSciences, Rice University, Houston, TX 77005, USA.ORCID https://orcid.org/0000-0003-2627-8038
E T SheehyDepartment of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA 70118, USA.
E R SchachnerDepartment of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32603, USA.ORCID https://orcid.org/0000-0002-8636-925X
B P HedrickDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.ORCID https://orcid.org/0000-0003-4446-3405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geometric morphometrics has had a profound impact on our understanding of morphological evolution. However, factors such as sample size and the views and elements selected for two-dimensional geometric morphometric (2DGM) analyses, which are often dictated by specimen availability and time rather than study design, may affect the outcomes of those analyses. Leveraging large intraspecific sample sizes (

Identifiers

PMID38313409
PMCPMC10833145

What OpenQuestion holds

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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.