Evidence map›Paper›PMID 42550867›Full record

ArticlePloS one2026

Experimental and agent-based simulation analysis of collective escape in mice: Validation and density-dependent effects of obstacles.

Duyen Thi Hai Nguyen, Taehyeong Kim, Junyoung Park

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Duyen Thi Hai NguyenDepartment of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Korea.ORCID https://orcid.org/0000-0002-7173-9588
Taehyeong KimDepartment of Mechanical Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Korea.
Junyoung ParkDepartment of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Korea.ORCID https://orcid.org/0000-0003-2902-9109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding collective movement under stress provides insight into the mechanisms governing escape dynamics. This study investigated how multiple environmental and group factors jointly affect the escape dynamics of mice under emergency-like conditions induced by electrical stimuli. The tested factors included stimulus intensity (40-55 V), the presence or absence of an obstacle near the exit, the guide walls at different exit angles (15°, 45°, and 75°), and group size (15 vs. 50 mice). Evacuation time, average velocity, and headway were quantified to assess escape efficiency. To validate and extend the experimental findings, an agent-based modeling framework-previously verified in similar studies-was used to reproduce and generalize the tested conditions. Results show that the effects of obstacles and guide walls depend strongly on both group size and stimulus intensity: under high-density and moderate-stimulus conditions, obstacles and guide walls facilitated smoother flow and shorter evacuation times, whereas under low-density or extreme stimuli, they hindered movement. These results demonstrate the density-dependent nature of obstacle effects and confirm that headway serves as a robust mechanistic indicator of flow stability, revealing that sufficient inter-agent spacing is essential to prevent physical interlocking and clogging at the bottleneck. Overall, this study integrates experiment and simulation to establish a validated framework for analyzing collective evacuation dynamics in animals under controlled conditions.

Indexed as

Behavior, AnimalEscape ReactionAnimalsComputer SimulationElectric StimulationMaleMiceModels, Biological

Identifiers

PMID42550867
PMCPMC13436747

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.