Evidence map›Paper›PMID 36054839›Full record

ArticleJournal of integrative bioinformatics2022

Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool.

Alexandre Oliveira, Emanuel Cunha, Fernando Cruz, João Capela, João C Sequeira, Marta Sampaio, Cláudia Sampaio, Oscar Dias

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of integrative bioinformatics, 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
0.1field-weighted citation impact, top 57% 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, 1 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 1 institution in 1 country.

Alexandre OliveiraCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.ORCID https://orcid.org/0000-0002-2255-8983
Emanuel CunhaCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Fernando CruzCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
João CapelaCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
João C SequeiraCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Marta SampaioCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Cláudia SampaioCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Oscar DiasCentre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.ORCID https://orcid.org/0000-0002-1765-7178
University of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale metabolic models (GEMs) are essential tools for

Indexed as

Metabolic Networks and PathwaysNeurofibromin 2Databases, FactualGenomeModels, BiologicalNeurofibromin 2BiGG Integration ToolBiGG modelsgenome-scale metabolic modelsmerlin

Identifiers

PMID36054839
PMCPMC9521827
OpenAlexW4294310416

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.