ArticleJournal of biomedical discovery and collaboration2006
A tutorial on information retrieval: basic terms and concepts.
Article in Journal of biomedical discovery and collaboration, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Accelerating annotation of articles via automated approaches: evaluation of the neXtA5 curation-support tool by neXtProt.Database : the journal of biological databases and curation · 2018Article
- KID--an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information of enzymes.BMC bioinformatics · 2010Article
- Extended query refinement for medical image retrieval.Journal of digital imaging · 2008Article
- MScanner: a classifier for retrieving Medline citations.BMC bioinformatics · 2008Article
- Linking genes to literature: text mining, information extraction, and retrieval applications for biology.Genome biology · 2008Review
- An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed, with an example from human genome epidemiology.BMC bioinformatics · 2007Article
- Enhancing access to the Bibliome: the TREC 2004 Genomics Track.Journal of biomedical discovery and collaboration · 2006Article
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
This informal tutorial is intended for investigators and students who would like to understand the workings of information retrieval systems, including the most frequently used search engines: PubMed and Google. Having a basic knowledge of the terms and concepts of information retrieval should improve the efficiency and productivity of searches. As well, this knowledge is needed in order to follow current research efforts in biomedical information retrieval and text mining that are developing new systems not only for finding documents on a given topic, but extracting and integrating knowledge across documents.
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.