Evidence map›Paper›PMID 30191472›Full record

ArticleBulletin of mathematical biology2018

Reproducible Research Using Biomodels.

Pedro Mendes

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
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  8. Article
  9. Review
  10. Review
  11. Review
  12. Reproducibility in systems biology modelling.Molecular systems biology · 2021
    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

1 author.

Pedro MendesCenter for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA. pmendes@uchc.edu.ORCID 0000-0001-6507-9168

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
NIGMS NIH HHS R01 GM080219
6 · The paper itself

Abstract

Like other types of computational research, modeling and simulation of biological processes (biomodels) is still largely communicated without sufficient detail to allow independent reproduction of results. But reproducibility in this area of research could easily be achieved by making use of existing resources, such as supplying models in standard formats and depositing code, models, and results in public repositories.

Indexed as

Models, BiologicalAccess to InformationAnimalsBiomedical ResearchComputational BiologyComputer SimulationDatabases, FactualHumansMathematical ConceptsPublishingReproducibility of ResultsSystems BiologyBiomodelsReproducibilityStandards

Identifiers

PMID30191472
PMCPMC6234049

What OpenQuestion holds

Textmetadata
LicenceTDM
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.