Evidence map›Paper›PMID 38637653›Full record

ArticleCommunications biology2024

Quantifying maternal investment in mammals using allometry.

Tim E R G Huijsmans, Alexandre Courtiol, Ann Van Soom, Katrien Smits, François Rousset, Jella Wauters, Thomas B Hildebrandt

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 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
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 3 institutions in 3 countries.

Tim E R G HuijsmansDepartment of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium. info@timhuijsmans.org.ORCID 0009-0002-7824-8439
Alexandre CourtiolDepartment of Evolutionary Genetics, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.ORCID 0000-0003-0637-2959
Ann Van SoomDepartment of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.ORCID 0000-0001-5010-6311
Katrien SmitsDepartment of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
François RoussetInstitute of Evolutionary Science of Montpellier, University of Montpellier, CNRS, IRD, campus Triolet, 34095, Montpellier cedex 05, France.
Jella WautersDepartment of Reproduction Biology, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
Thomas B HildebrandtDepartment of Reproduction Management, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
Ghent University · BELeibniz Institute for Zoo and Wildlife Research · DECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal investment influences the survival and reproduction of both mothers and their progeny and plays a crucial role in understanding individuals' life-history and population ecology. To reveal the complex mechanisms associated with reproduction and investment, it is necessary to examine variations in maternal investment across species. Comparisons across species call for a standardised method to quantify maternal investment, which remained to be developed. This paper addresses this limitation by introducing the maternal investment metric - MI - for mammalian species, established through the allometric scaling of the litter mass at weaning age by the adult mass and investment duration (i.e. gestation + lactation duration) of a species. Using a database encompassing hundreds of mammalian species, we show that the metric is not highly sensitive to the regression method used to fit the allometric relationship or to the proxy used for adult body mass. The comparison of the maternal investment metric between mammalian subclasses and orders reveals strong differences across taxa. For example, our metric confirms that Eutheria have a higher maternal investment than Metatheria. We discuss how further research could use the maternal investment metric as a valuable tool to understand variation in reproductive strategies.

Indexed as

MarsupialiaReproductionAnimalsFemaleHumansLactationMammals

Identifiers

PMID38637653
PMCPMC11026411
OpenAlexW4394923651

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.