Evidence map›Paper›PMID 37063984›Full record

ArticleRoyal Society open science2023

Quantifying allo-grooming in wild chacma baboons (

Charlotte Christensen, Anna M Bracken, M Justin O'Riain, Gaëlle Fehlmann, Mark Holton, Phillip Hopkins, Andrew J King, Ines Fürtbauer

Abstract read
In one paragraph

Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. From biologging to conservation: Tracking individual performance in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Linking energy availability, movement and sociality in a wild primate (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  5. Article
  6. Individual and ecological heterogeneity promote complex communication in social vertebrate group decisions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Quantifying allo-grooming in wild chacma baboons (Royal Society open science · 2023
    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

8 authors.

Charlotte ChristensenFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID 0000-0001-7697-9903
Anna M BrackenFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID 0000-0002-5183-3139
M Justin O'RiainInstitute for Communities and Wildlife in Africa, Department of Biological Science, University of Cape Town, Rondebosch, 7701, South Africa.ORCID https://orcid.org/0000-0001-5233-8327
Gaëlle FehlmannMax Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.ORCID https://orcid.org/0000-0001-7981-5728
Mark HoltonFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID https://orcid.org/0000-0001-8834-3283
Phillip HopkinsFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID 0009-0005-6570-6236
Andrew J KingFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID 0000-0002-6870-9767
Ines FürtbauerFaculty of Science and Engineering, Swansea University, Swansea SA2 8PP, UK.ORCID 0000-0003-1404-6280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of activity budgets is pivotal for understanding how animals respond to changes in their environment. Social grooming is a key activity that underpins various social processes with consequences for health and fitness. Traditional methods use direct (focal) observations to calculate grooming rates, providing systematic but sparse data. Accelerometers, in contrast, can quantify activity budgets continuously but have not been used to quantify social grooming. We test whether grooming can be accurately identified using machine learning (random forest model) trained on labelled acceleration data from wild chacma baboons (

Indexed as

activity budgetsallo-groomingmachine learningprimatesrandom forest modelstri-axial accelerometers

Identifiers

PMID37063984
PMCPMC10090879

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.