Evidence map›Paper›PMID 36533200›Full record

ArticleRoyal Society open science2022

How environment affects active particle swarms: a case study.

Pierre Degond, Angelika Manhart, Sara Merino-Aceituno, Diane Peurichard, Lorenzo Sala

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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, 0 citations in OpenAlex.

  1. Article
  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

5 authors at 4 institutions in 3 countries.

Pierre DegondInstitut de Mathématiques de Toulouse, UMR5219, Université de Toulouse, CNRS, UPS, Toulouse Cedex 9 31062, France.ORCID https://orcid.org/0000-0002-4886-6968
Angelika ManhartMathematics Department, University College London, 25 Gordon Street, London, UK.
Sara Merino-AceitunoFaculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, Vienna 1090, Austria.
Diane PeurichardInria, Laboratoire Jacques-Louis Lions, Sorbonne Université, CNRS, Université de Paris, 4, Place Jussieu, Paris Cedex 05 75252, France.ORCID 0000-0002-0807-2266
Lorenzo SalaINRIA Saclay Ile-de-France, 1 rue Honoré d'Estienne d'Orves, Palaiseau 91120, France.ORCID https://orcid.org/0000-0002-8878-0616
Centre National de la Recherche Scientifique · FRInstitut national de recherche en sciences et technologies du numérique · FRUniversity College London · GBUniversity of Vienna · AT

Funding

Austrian Science Fund FWF W 1261
6 · The paper itself

Abstract

We investigate the collective motion of self-propelled agents in an environment filled with obstacles that are tethered to fixed positions via springs. The active particles are able to modify the environment by moving the obstacles through repulsion forces. This creates feedback interactions between the particles and the obstacles from which a breadth of patterns emerges (trails, band, clusters, honey-comb structures, etc.). We will focus on a discrete model first introduced in Aceves-Sanchez P

Indexed as

agent-based modelscollective dynamicsmultiscale modellingpartial differential equationsself-propelled particles

Identifiers

PMID36533200
PMCPMC9748504
OpenAlexW4281717743

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.