Evidence map›Paper›PMID 40416937›Full record

ArticleSoftwareX2024

MPAT: Modular Petri Net Assembly Toolkit.

Stefano Chiaradonna, Petar Jevtić, Beckett Sterner

Abstract read
In one paragraph

Article in SoftwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Stefano ChiaradonnaSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, United States of America.
Petar JevtićSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, United States of America.
Beckett SternerSchool of Life Sciences, Arizona State University, Tempe, AZ, United States of America.

Funding

DMS/NIGMS 2: Spatial, Multi-Host Petri Net Models for Zoonotic Disease ForecastingR01GM152813 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Beckett Sterner · 2023 to 2026
$1.1M
NIGMS NIH HHS R01 GM152813
6 · The paper itself

Abstract

We present a Python package called Modular Petri Net Assembly Toolkit (MPAT) that empowers users to easily create large-scale, modular Petri Nets for various spatial configurations, including extensive spatial grids or those derived from shapefiles, augmented with heterogeneous information layers. Petri Nets are powerful discrete event system modeling tools in computational biology and engineering. However, their utility for automated construction of large-scale spatial models has been limited by gaps in existing modeling software packages. MPAT addresses this gap by supporting the development of modular Petri Net models with flexible spatial geometries.

Indexed as

Discrete event simulationPetri NetsSnoopySpatial modelingSpike

Identifiers

PMID40416937
PMCPMC12101618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.