ArticleJournal of cheminformatics2011
Mining chemical information from open patents.
Article in Journal of cheminformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Suitability of large language models for extraction of high-quality chemical reaction dataset from patent literature.Journal of cheminformatics · 2024Article
- Exploring SureChEMBL from a drug discovery perspective.Scientific data · 2024Article
- Automatic identification of relevant chemical compounds from patents.Database : the journal of biological databases and curation · 2019Article
- Exploring sets of molecules from patents and relationships to other active compounds in chemical space networks.Journal of computer-aided molecular design · 2017Article
- Chemical entity recognition in patents by combining dictionary-based and statistical approaches.Database : the journal of biological databases and curation · 2016Article
- Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources.F1000Research · 2016Article
- Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015Article
- Article
- Article
- OSCAR4: a flexible architecture for chemical text-mining.Journal of cheminformatics · 2011Article
- Semantic science and its communication - a personal view.Journal of cheminformatics · 2011Article
- The semantics of Chemical Markup Language (CML): dictionaries and conventions.Journal of cheminformatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Linked Open Data presents an opportunity to vastly improve the quality of science in all fields by increasing the availability and usability of the data upon which it is based. In the chemical field, there is a huge amount of information available in the published literature, the vast majority of which is not available in machine-understandable formats. PatentEye, a prototype system for the extraction and semantification of chemical reactions from the patent literature has been implemented and is discussed. A total of 4444 reactions were extracted from 667 patent documents that comprised 10 weeks' worth of publications from the European Patent Office (EPO), with a precision of 78% and recall of 64% with regards to determining the identity and amount of reactants employed and an accuracy of 92% with regards to product identification. NMR spectra reported as product characterisation data are additionally captured.
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.