Evidence map›Paper›PMID 36802775›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

Challenges of mismatching timescales in longitudinal studies of collective behaviour.

Mina Ogino, Eli D Strauss, Damien R Farine

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Collective intelligence facilitates emergent resource partitioning through frequency-dependent learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  4. Article
  5. A multi-scale review of the dynamics of collective behaviour: from rapid responses to ontogeny and evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

3 authors.

Mina OginoDepartment of Evolutionary and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.ORCID 0000-0002-3780-2942
Eli D StraussDepartment of Collective Behaviour, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315 Radolfzell, Germany.ORCID 0000-0003-3413-1642
Damien R FarineDepartment of Evolutionary and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.ORCID 0000-0003-2208-7613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How individuals' prior experience and population evolutionary history shape emergent patterns in animal collectives remains a major gap in the study of collective behaviour. One reason for this is that the processes that can shape individual contributions to collective actions can happen over very different timescales from each other and from the collective actions themselves, resulting in mismatched timescales. For example, a preference to move towards a specific patch might arise from phenotype, memory or physiological state. Although providing critical context to collective actions, bridging different timescales remains conceptually and methodologically challenging. Here, we briefly outline some of these challenges, and discuss existing approaches that have already generated insights into the factors shaping individual contributions in animal collectives. We then explore a case study of mismatching timescales-defining relevant group membership-by combining fine-scaled GPS tracking data and daily field census data from a wild population of vulturine guineafowl (

Indexed as

GalliformesSocial BehaviorAnimalsLongitudinal StudiesMass BehaviorSocial Environmentcollective behaviourcommunity detectiondemographicGPS trackinglong-term datasocial network analysis

Identifiers

PMID36802775
PMCPMC9939264

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.