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Information


Unique identifier OMICS_20972
Name Deja vu
Restrictions to use None
Database management system MySQL
Community driven No
Data access Browse
User data submission Not allowed
Version 1.0
Maintained No

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Publication for Deja vu

Deja vu citations

 (6)
library_books

A Prediction Algorithm for Drug Response in Patients with Mesial Temporal Lobe Epilepsy Based on Clinical and Genetic Information

2017
PLoS One
PMCID: 5215688
PMID: 28052106
DOI: 10.1371/journal.pone.0169214

[…] .MTLE was defined based on a constellation of signs and symptoms, with the characteristic seizure semiology, including viscerosensory or experiential auras, such as rising epigastric sensation, fear, déjà vu, jamais vu, dreamy state, with or without autonomic symptoms (e.g. flushing, pallor, tachycardia), frequently followed by dyscognitive seizures with staring, oral, verbal, or gestural automati […]

library_books

Ethics Requirement Score: new tool for evaluating ethics in publications

2014
PMCID: 4879904
PMID: 25628189
DOI: 10.1590/S1679-45082014AO3001

[…] n over the last 20 years doubled, while the number of retractions increased 20 times during the same period, possibly as a consequence of the appearance of better plagiarism detection systems such as Déjà vu , Ephorus, Jplag, and Etblast, for example,() as well as the responsibility that the publishers have received for measures against poor conduct.() In Brazil, it is no different. Due to the inc […]

library_books

Systematic Characterizations of Text Similarity in Full Text Biomedical Publications

2010
PLoS One
PMCID: 2939881
PMID: 20856807
DOI: 10.1371/journal.pone.0012704

[…] lar and potentially unethical scientific articles. In our previous study, the text similarity-based information retrieval search engine eTBLAST was tuned with the MEDLINE abstract dataset to create Déjà vu, a publicly available database of over 70,000 highly similar biomedical citations . The abstract of each MEDLINE citation was compared to its top related article in MEDLINE (a feature availabl […]

library_books

Identifying duplicate content using statistically improbable phrases

2010
Bioinformatics
PMCID: 2872002
PMID: 20472545
DOI: 10.1093/bioinformatics/btq146

[…] ow sensitivity (∼50%) (Errami et al., , ). We also performed the first large-scale automated detection of duplicate publications in MEDLINE (Errami and Garner, ) and deposited these findings into the Déjà vu database (Errami et al., ). Our estimate of ∼200 000 duplicate publications in MEDLINE is consistent with previous reports (Martinson et al., ; von Elm et al., ).One weakness of this process, […]

library_books

Linking genes to literature: text mining, information extraction, and retrieval applications for biology

2008
Genome Biol
PMCID: 2559992
PMID: 18834499
DOI: 10.1186/gb-2008-9-s2-s8

[…] find domain experts for specific topics for the peer-review process and to ensure that their publications contain novel scientific discoveries, detecting potential cases of plagiarism. Tools such as Déjà vu, which uses text similarity calculations to detect duplicate citations from PubMed, can determine the novelty of publications []. The biomedical literature can also serve as a resource to buil […]

library_books

The Molecular Biology Database Collection: 2008 update

2007
Nucleic Acids Res
PMCID: 2238887
PMID: 18025043
DOI: 10.1093/nar/gkm1037

[…] /www.buchnera.org/, no. 1153, ()]. The combination of the two should provide further insights in the mechanisms of this interesting symbiotic relationship. One of the most remarkable new databases is Déjà vu (http://spore.swmed.edu/dejavu/, no. 1171), a database that uses the eTBLAST tool, recently described in the NAR Web Server issue (), to find highly similar abstracts in bibliographic database […]

Citations

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Deja vu institution(s)
Division of Translational Research, The University of Texas Southwestern Medical Center, Dallas, TX, USA; McDermott Center for Human Growth and Development, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Deja vu funding source(s)
Supported by P.O’B. Montgomery Distinguished Chair; the Hudson Foundation; National Institute of Health/National Library of Medicine grant (R01 LM009758-01).

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