ArticleBioinformatics (Oxford, England)2022
Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia.
Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.Bioinformatics (Oxford, England) · 2026Article
- The 15th ISCB Student Wikipedia Competition: past, present and future perspectives.Bioinformatics advances · 2026Article
- An educator framework for organizing Wikipedia editathons for computational biology.Bioinformatics (Oxford, England) · 2025Article
- Mapping educational needs in bioinformatics in Brazil: adapting ISCB 3.0 competencies to a regional context.Bioinformatics advances · 2025Article
- Closing the computational biology 'knowledge gap': Spanish Wikipedia as a case study.Bioinformatics (Oxford, England) · 2024Article
- Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia.Bioinformatics (Oxford, England) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 20 institutions in 14 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationWikipedia is one of the most important channels for the public communication of science and is frequently accessed as an educational resource in computational biology. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further improvement in quality, especially when compared to related scientific fields such as genetics and medicine. Facilitating involvement of members from ISCB Communities of Special Interest (COSIs) would improve a vital open education resource in computational biology, additionally allowing COSIs to provide a quality educational resource highly specific to their subfield.
resultsWe generate a list of around 1500 English Wikipedia articles relating to computational biology and describe the development of a binary COSI-Article matrix, linking COSIs to relevant articles and thereby defining domain-specific open educational resources. Our analysis of the COSI-Article matrix data provides a quantitative assessment of computational biology representation on Wikipedia against other fields and at a COSI-specific level. Furthermore, we conducted similarity analysis and subsequent clustering of COSI-Article data to provide insight into potential relationships between COSIs. Finally, based on our analysis, we suggest courses of action to improve the quality of computational biology representation on Wikipedia.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.