Evidence map›Paper›PMID 32725363›Full record

ArticleBulletin of mathematical biology2020

Agent-Based Modeling and Simulation in Mathematics and Biology Education.

Erin N Bodine, Robert M Panoff, Eberhard O Voit, Anton E Weisstein

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Format-Preserving Reduction of Canonical Nonlinear Models.Bulletin of mathematical biology · 2026
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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

4 authors.

Erin N BodineDepartment of Mathematics and Computer Science, Rhodes College, 2000 N. Parkway, Memphis, TN, 38112, USA. bodinee@rhodes.edu.ORCID 0000-0001-7885-1233
Robert M PanoffShodor Education Foundation and Wofford College, 701 William Vickers Avenue, Durham, NC, 27701, USA.
Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology, 2115 EBB, 950 Atlantic Drive, Atlanta, GA, 30332-2000, USA.
Anton E WeissteinDepartment of Biology, Truman State University, 100 E. Normal Street, Kirksville, MO, 63501, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With advances in computing, agent-based models (ABMs) have become a feasible and appealing tool to study biological systems. ABMs are seeing increased incorporation into both the biology and mathematics classrooms as powerful modeling tools to study processes involving substantial amounts of stochasticity, nonlinear interactions, and/or heterogeneous spatial structures. Here we present a brief synopsis of the agent-based modeling approach with an emphasis on its use to simulate biological systems, and provide a discussion of its role and limitations in both the biology and mathematics classrooms.

Indexed as

BiologyComputer SimulationMathematicsModels, BiologicalHumansSystems AnalysisAgent-based models (ABMs)EducationPedagogySimulation

Identifiers

PMID32725363
PMCPMC7385329

What OpenQuestion holds

Textmetadata
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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.