Evidence map›Paper›PMID 32547779›Full record

ArticleEvolution letters2020

On the use of the coefficient of variation to quantify and compare trait variation.

Christophe Pélabon, Christoffer H Hilde, Sigurd Einum, Marlène Gamelon

Abstract read
In one paragraph

Article in Evolution letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
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  3. Article
  4. Nucleotide diversity is a poor predictor of short-term adaptive potential.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Phenotypic Plasticity inEcology and evolution · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Morphometric Traits as Predictors of Body Mass in the Marine GastropodAnimals : an open access journal from MDPI · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Christophe PélabonCentre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology (NTNU) Trondheim 7491 Norway.ORCID https://orcid.org/0000-0002-8630-8983
Christoffer H HildeCentre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology (NTNU) Trondheim 7491 Norway.ORCID https://orcid.org/0000-0002-0445-8575
Sigurd EinumCentre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology (NTNU) Trondheim 7491 Norway.ORCID https://orcid.org/0000-0002-3788-7800
Marlène GamelonCentre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology (NTNU) Trondheim 7491 Norway.ORCID https://orcid.org/0000-0002-9433-2369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meaningful comparison of variation in quantitative trait requires controlling for both the dimension of the varying entity and the dimension of the factor generating variation. Although the coefficient of variation (CV; standard deviation divided by the mean) is often used to measure and compare variation of quantitative traits, it only accounts for the dimension of the former, and its use for comparing variation may sometimes be inappropriate. Here, we discuss the use of the CV to compare measures of evolvability and phenotypic plasticity, two variational properties of quantitative traits. Using a dimensional analysis, we show that contrary to evolvability, phenotypic plasticity cannot be meaningfully compared across traits and environments by mean-scaling trait variation. We further emphasize the need of remaining cognizant of the dimensions of the traits and the relationship between mean and standard deviation when comparing CVs, even when the scales on which traits are expressed allow meaningful calculation of the CV.

Indexed as

Dimensional analysesgenetic variancemeasurement theoryquantitative geneticsteaching

Identifiers

PMID32547779
PMCPMC7293077

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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.