ArticlePLoS computational biology2009
Biomedical text mining and its applications.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Applications of Large Language Models and Prompt Optimization for Knowledge Extraction from Biological Pathway Figures.IEEE journal of biomedical and health informatics · 2025Article
- The Cannabis sativa genetics and therapeutics relationship network: automatically associating cannabis-related genes to therapeutic properties through chemicals from cannabis literature.Journal of cannabis research · 2023Article
- Text mining for identification of biological entities related to antibiotic resistant organisms.PeerJ · 2022Article
- Text mining for modeling of protein complexes enhanced by machine learning.Bioinformatics (Oxford, England) · 2021Article
- Pandemics, epidemics, viruses, plagues, and disease: Comparative frequency analysis of a cultural pathology reflected in science fiction magazines from 1926 to 2015.Social sciences & humanities open · 2020Article
- PPR-SSM: personalized PageRank and semantic similarity measures for entity linking.BMC bioinformatics · 2019Article
- Trends in anesthesiology research: a machine learning approach to theme discovery and summarization.JAMIA open · 2018Article
- Article
- Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling.Computational and mathematical methods in medicine · 2018Article
- Semantic annotation in biomedicine: the current landscape.Journal of biomedical semantics · 2017Review
- Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature.BMC medical informatics and decision making · 2017Article
- Article
- Scalable Text Mining Assisted Curation of Post-Translationally Modified Proteoforms in the Protein Ontology.CEUR workshop proceedings · 2016Article
- Biocuration with insufficient resources and fixed timelines.Database : the journal of biological databases and curation · 2015Article
- Text mining for adverse drug events: the promise, challenges, and state of the art.Drug safety · 2014Article
- Article
- Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.PLoS computational biology · 2013Article
- Enhancement of chemical entity identification in text using semantic similarity validation.PloS one · 2013Article
- Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data.Expert opinion on medical diagnostics · 2013Article
- Application of a systems approach to study developmental gene regulation.Biophysical reviews · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.