ArticleJournal of biomedical semantics2015
Section level search functionality in Europe PMC.
Article in Journal of biomedical semantics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery.Nucleic acids research · 2025Article
- Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms.Scientific data · 2023Article
- Towards a unified search: Improving PubMed retrieval with full text.Journal of biomedical informatics · 2022Article
- RENET2: high-performance full-text gene-disease relation extraction with iterative training data expansion.NAR genomics and bioinformatics · 2021Article
- COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.IEEE transactions on big data · 2021Article
- PMC text mining subset in BioC: about three million full-text articles and growing.Bioinformatics (Oxford, England) · 2019Article
- Visual and Semantic Enrichment of Analytical Chemistry Literature Searches by Combining Text Mining and Computational Chemistry.Analytical chemistry · 2019Article
- Literature evidence in open targets - a target validation platform.Journal of biomedical semantics · 2017Article
- SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data.Wellcome open research · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched, including figures and reference lists. Users can now search particular parts of an article, reducing noise and allowing fine-tuning of searches.
resultsTo the best of our knowledge, Europe PMC is the first service that provides a granular literature search by allowing users to target their search to particular sections of articles. This new functionality is based on a heuristic algorithm that identifies and categorises article sections into 17 pre-defined categories based on the section heading. The tagger's performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%.
conclusionsThe section search is available from the advanced search within Europe PMC (http://europepmc.org). The source code is freely available from http://europepmc.org/ftp/oa/SectionTagger/.
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.