Evidence map›Paper›PMID 36700097›Full record

ArticleBioinformatics advances2021

BIONDA: a free database for a fast information on published biomarkers.

Michael Turewicz, Anika Frericks-Zipper, Markus Stepath, Karin Schork, Spoorti Ramesh, Katrin Marcus, Martin Eisenacher

Abstract read
In one paragraph

Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Michael TurewiczMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.ORCID https://orcid.org/0000-0003-0737-1114
Anika Frericks-ZipperMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.
Markus StepathMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.
Karin SchorkMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.ORCID https://orcid.org/0000-0003-3756-4347
Spoorti RameshMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.
Katrin MarcusMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.
Martin EisenacherMedizinisches Proteom-Center, Ruhr University Bochum, Bochum 44801, Germany.ORCID https://orcid.org/0000-0003-2687-7444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Because of the steadily increasing and already manually unmanageable total number of biomarker-related articles in biomedical research, there is a need for intelligent systems that extract all relevant information from biomedical texts and provide it as structured information to researchers in a user-friendly way. To address this, BIONDA was implemented as a free text mining-based online database for molecular biomarkers including genes, proteins and miRNAs and for all kinds of diseases. The contained structured information on published biomarkers is extracted automatically from Europe PMC publication abstracts and high-quality sources like UniProt and Disease Ontology. This allows frequent content updates. Availability and implementation: BIONDA is freely accessible via a user-friendly web application at http://bionda.mpc.ruhr-uni-bochum.de. The current BIONDA code is available at GitHub via https://github.com/mpc-bioinformatics/bionda. Supplementary information: Supplementary data are available at

Identifiers

PMID36700097
PMCPMC9710600

What OpenQuestion holds

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LicenceCC BY
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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.