ArticleNucleic acids research2008
BioLit: integrating biological literature with databases.
Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Text mining for modeling of protein complexes enhanced by machine learning.Bioinformatics (Oxford, England) · 2021Article
- PaperBot: open-source web-based search and metadata organization of scientific literature.BMC bioinformatics · 2019Article
- Database citation in supplementary data linked to Europe PubMed Central full text biomedical articles.Journal of biomedical semantics · 2015Article
- Database citation in full text biomedical articles.PloS one · 2013Article
- Text mining for the biocuration workflow.Database : the journal of biological databases and curation · 2012Article
- Improving links between literature and biological data with text mining: a case study with GEO, PDB and MEDLINE.Database : the journal of biological databases and curation · 2012Article
- Integrating GPCR-specific information with full text articles.BMC bioinformatics · 2011Article
- The RCSB Protein Data Bank: redesigned web site and web services.Nucleic acids research · 2011Article
- Utopia documents: linking scholarly literature with research data.Bioinformatics (Oxford, England) · 2010Article
- Integration of open access literature into the RCSB Protein Data Bank using BioLit.BMC bioinformatics · 2010Article
- Recall and bias of retrieving gene expression microarray datasets through PubMed identifiers.Journal of biomedical discovery and collaboration · 2010Article
- Word add-in for ontology recognition: semantic enrichment of scientific literature.BMC bioinformatics · 2010Article
- LINNAEUS: a species name identification system for biomedical literature.BMC bioinformatics · 2010Article
- The Pfam protein families database.Nucleic acids research · 2010Article
- Calling International Rescue: knowledge lost in literature and data landslide!The Biochemical journal · 2009Review
- BioPortal: ontologies and integrated data resources at the click of a mouse.Nucleic acids research · 2009Article
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
No grant is acknowledged in the PubMed record.
Abstract
BioLit is a web server which provides metadata describing the semantic content of all open access, peer-reviewed articles which describe research from the major life sciences literature archive, PubMed Central. Specifically, these metadata include database identifiers and ontology terms found within the full text of the article. BioLit delivers these metadata in the form of XML-based article files and as a custom web-based article viewer that provides context-specific functionality to the metadata. This resource aims to integrate the traditional scientific publication directly into existing biological databases, thus obviating the need for a user to search in multiple locations for information relating to a specific item of interest, for example published experimental results associated with a particular biological database entry. As an example of a possible use of BioLit, we also present an instance of the Protein Data Bank fully integrated with BioLit data. We expect that the community of life scientists in general will be the primary end-users of the web-based viewer, while biocurators will make use of the metadata-containing XML files and the BioLit database of article data. BioLit is available at http://biolit.ucsd.edu.
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.