ArticleBioinformatics (Oxford, England)2019
PMC text mining subset in BioC: about three million full-text articles and growing.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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.
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
47 citing papers in PubMed.
- Tutorial: guidance on the use of large language models for medical research.Nature protocols · 2026Review
- Preprocessing on the Go: Practices in Gait-Related Mobile EEG.Psychophysiology · 2026Review
- What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.ArXiv · 2026Article
- Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow.Scientific data · 2026Article
- Fighting Health-Related Misinformation In Social Media With Large Language Models.Proceedings of the International Symposium on Intelligent Computing and Networking 2025 : Isicn 2025. International Symposium on Intelligent Computing and Networking (2025) · 2026Article
- Article
- A Narrative Review on Mobile Health (mHealth) App for Stroke Care and Rehabilitation Intervention for Malaysia.The Malaysian journal of medical sciences : MJMS · 2025Article
- Large language models can extract metadata for annotation of human neuroimaging publications.Frontiers in neuroinformatics · 2025Article
- KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories.Biomolecules · 2024Article
- Dataset from a human-in-the-loop approach to identify functionally important protein residues from literature.Scientific data · 2024Article
- RegulaTome: a corpus of typed, directed, and signed relations between biomedical entities in the scientific literature.Database : the journal of biological databases and curation · 2024Article
- STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature.Bioinformatics (Oxford, England) · 2024Article
- Improving dictionary-based named entity recognition with deep learning.Bioinformatics (Oxford, England) · 2024Article
- The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop.Database : the journal of biological databases and curation · 2024Article
- RecSOI: recommending research directions using statements of ignorance.Journal of biomedical semantics · 2024Article
- Machine Learning-based Analysis of Publications Funded by the National Institutes of Health's Initial COVID-19 Pandemic Response.Open forum infectious diseases · 2024Article
- Dataset of clinical cases, images, image labels and captions from open access case reports from PubMed Central (1990-2023).Data in brief · 2024Article
- Notes on the data quality of bibliographic records from the MEDLINE database.Database : the journal of biological databases and curation · 2023Article
- Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms.Scientific data · 2023Article
- Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.Computers in biology and medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
motivationInterest in text mining full-text biomedical research articles is growing. To facilitate automated processing of nearly 3 million full-text articles (in PubMed Central® Open Access and Author Manuscript subsets) and to improve interoperability, we convert these articles to BioC, a community-driven simple data structure in either XML or JavaScript Object Notation format for conveniently sharing text and annotations.
resultsThe resultant articles can be downloaded via both File Transfer Protocol for bulk access and a Web API for updates or a more focused collection. Since the availability of the Web API in 2017, our BioC collection has been widely used by the research community. AVAILABILITY AND IMPLEMENTATION: https://www.ncbi.nlm.nih.gov/research/bionlp/APIs/BioC-PMC/.
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.