Evidence map›Paper›PMID 28809445›Full record

ArticleJournal of anatomy2017

A quantitative evaluation of physical and digital approaches to centre of mass estimation.

Sophie Macaulay, John R Hutchinson, Karl T Bates

Open access · hybridAbstract read
In one paragraph

Article in Journal of anatomy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. New perspectives on head and neck allometry and ecomorphology in tetrapods.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. New perspectives on body size and shape evolution in dinosaurs.Biological reviews of the Cambridge Philosophical Society · 2025
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  6. When the lung invades: a review of avian postcranial skeletal pneumaticity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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  11. Static Stability and Swim Bladder Volume in the Bluegill Sunfish (Integrative organismal biology (Oxford, England) · 2023
    Article
  12. Body size, shape and ecology in tetrapods.Nature communications · 2022
    Article
  13. Article
  14. A Whole-Body Musculoskeletal Model of the Mouse.IEEE access : practical innovations, open solutions · 2021
    Article
  15. Review
  16. 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

3 authors at 2 institutions in 1 country.

Sophie MacaulayDepartment of Musculoskeletal Biology, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, Merseyside, UK.ORCID http://orcid.org/0000-0001-8076-1667
John R HutchinsonStructure & Motion Laboratory, Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Hatfield, Hertfordshire, UK.
Karl T BatesDepartment of Musculoskeletal Biology, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, Merseyside, UK.
University of Liverpool · GBUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Centre of mass is a fundamental anatomical and biomechanical parameter. Knowledge of centre of mass is essential to inform studies investigating locomotion and other behaviours, through its implications for segment movements, and on whole body factors such as posture. Previous studies have estimated centre of mass position for a range of organisms, using various methodologies. However, few studies assess the accuracy of the methods that they employ, and often provide only brief details on their methodologies. As such, no rigorous, detailed comparisons of accuracy and repeatability within and between methods currently exist. This paper therefore seeks to apply three methods common in the literature (suspension, scales and digital modelling) to three 'calibration objects' in the form of bricks, as well as three birds to determine centre of mass position. Application to bricks enables conclusions to be drawn on the absolute accuracy of each method, in addition to comparing these results to assess the relative value of these methodologies. Application to birds provided insights into the logistical challenges of applying these methods to biological specimens. For bricks, we found that, provided appropriate repeats were conducted, the scales method yielded the most accurate predictions of centre of mass (within 1.49 mm), closely followed by digital modelling (within 2.39 mm), with results from suspension being the most distant (within 38.5 mm). Scales and digital methods both also displayed low variability between centre of mass estimates, suggesting they can accurately and consistently predict centre of mass position. Our suspension method resulted not only in high margins of error, but also substantial variability, highlighting problems with this method.

Indexed as

Biomechanical PhenomenaModels, AnatomicAnimalsBirdsHumansLocomotionbiomechanicscentre of gravityinertial propertiesmass propertiesvalidationvolumetric modelling

Identifiers

PMID28809445
PMCPMC5643916
OpenAlexW2748582305

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.