Evidence map›Paper›PMID 33334676›Full record

ArticleTrends in molecular medicine2021

The Need for Research-Grade Systems Modeling Technologies for Life Science Education.

Tomáš Helikar

Abstract read
In one paragraph

Article in Trends in molecular medicine, 2021. 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
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.

  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

1 author.

Tomáš HelikarDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA. Electronic address: thelikar2@unl.edu.

Funding

Software for collaborative construction, simulation, and analysis of mechanistic computational models of biological systemsR35GM119770 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI Tomas Helikar · 2016 to 2026
$4.4M
NIGMS NIH HHS R35 GM119770
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic not only challenged deeply-rooted daily patterns but also put a spotlight on the role of computational modeling in science and society. Amid the impromptu upheaval of in-person education across the world, this article aims to articulate the need to train students in computational and systems biology using research-grade technologies.

Indexed as

Computer SimulationCOVID-19Biological Science DisciplinesEducation, MedicalHumansPandemicsPatient-Specific ModelingSARS-CoV-2computational modelingdiscipline-based education researchsimulationssystems biologysystems thinking

Identifiers

PMID33334676
PMCPMC8353068

What OpenQuestion holds

Textmetadata
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.