Evidence map›Paper›PMID 35291326›Full record

ArticleRoyal Society open science2022

Noise resistant synchronization and collective rhythm switching in a model of animal group locomotion.

Grant Navid Doering, Brian Drawert, Carmen Lee, Jonathan N Pruitt, Linda R Petzold, Kari Dalnoki-Veress

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Emergent collective behavior evolves more rapidly than individual behavior among acorn ant species.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. 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

6 authors at 3 institutions in 2 countries.

Grant Navid DoeringDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada L8S 4K1.ORCID 0000-0002-3839-9139
Brian DrawertNational Environmental Modeling and Analysis Center, University of North Carolina at Asheville, Asheville, NC 28804, USA.
Carmen LeeDepartment of Physics and Astronomy, McMaster University, Hamilton, Ontario, Canada L8S 4K1.
Jonathan N PruittDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada L8S 4K1.ORCID 0000-0003-0326-6755
Linda R PetzoldDepartment of Computer Science, University of California, Santa Barbara, CA 93106, USA.
Kari Dalnoki-VeressDepartment of Physics and Astronomy, McMaster University, Hamilton, Ontario, Canada L8S 4K1.
McMaster University · CAUniversity of California, Santa Barbara · USUniversity of North Carolina at Asheville · US

Funding

Modeling how keystone individuals emerge and influence disease transmissionR01GM115509 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PINTER-WOLLMAN, NOA MICHAL · 2016 to 2020
$2.0M
NIGMS NIH HHS R01 GM115509
6 · The paper itself

Abstract

Biology is suffused with rhythmic behaviour, and interacting biological oscillators often synchronize their rhythms with one another. Colonies of some ant species are able to synchronize their activity to fall into coherent bursts, but models of this phenomenon have neglected the potential effects of intrinsic noise and interspecific differences in individual-level behaviour. We investigated the individual and collective activity patterns of two

Indexed as

antscoupled oscillatorsexcitable mediaLeptothoraxmulti-rhythmicity

Identifiers

PMID35291326
PMCPMC8905150
OpenAlexW4220731680

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.