MedlineRanker: flexible ranking of biomedical literature
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Jean-Fred Fontaine
- Adriano Barbosa-Silva
- Martin Schaefer
- Matthew R Huska
- Enrique M Muro
- Miguel A Andrade-Navarro
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000267889100026&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1093/nar/gkp353
- eISSN
- 1362-4962
- Externe Identifier
- Clarivate Analytics Document Solution ID: 469IG
- PubMed Identifier: 19429696
- ISSN
- 0305-1048
- Zeitschrift
- NUCLEIC ACIDS RESEARCH
- Paginierung
- W141 - W146
- Datum der Veröffentlichung
- 2009
- Status
- Published
- Titel
- MedlineRanker: flexible ranking of biomedical literature
- Sub types
- Article
- Ausgabe der Zeitschrift
- 37
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Autoren
- Jean-Fred Fontaine
- Adriano Barbosa-Silva
- Martin Schaefer
- Matthew R Huska
- Enrique M Muro
- Miguel A Andrade-Navarro
- DOI
- 10.1093/nar/gkp353
- eISSN
- 1362-4962
- ISSN
- 0305-1048
- Ausgabe der Veröffentlichung
- suppl_2
- Zeitschrift
- Nucleic Acids Research
- Sprache
- en
- Online publication date
- 2009
- Paginierung
- W141 - W146
- Datum der Veröffentlichung
- 2009
- Status
- Published
- Herausgeber
- Oxford University Press (OUP)
- Herausgeber URL
- http://dx.doi.org/10.1093/nar/gkp353
- Datum der Datenerfassung
- 2018
- Titel
- MedlineRanker: flexible ranking of biomedical literature
- Ausgabe der Zeitschrift
- 37
Datenquelle: Crossref
- Abstract
- The biomedical literature is represented by millions of abstracts available in the Medline database. These abstracts can be queried with the PubMed interface, which provides a keyword-based Boolean search engine. This approach shows limitations in the retrieval of abstracts related to very specific topics, as it is difficult for a non-expert user to find all of the most relevant keywords related to a biomedical topic. Additionally, when searching for more general topics, the same approach may return hundreds of unranked references. To address these issues, text mining tools have been developed to help scientists focus on relevant abstracts. We have implemented the MedlineRanker webserver, which allows a flexible ranking of Medline for a topic of interest without expert knowledge. Given some abstracts related to a topic, the program deduces automatically the most discriminative words in comparison to a random selection. These words are used to score other abstracts, including those from not yet annotated recent publications, which can be then ranked by relevance. We show that our tool can be highly accurate and that it is able to process millions of abstracts in a practical amount of time. MedlineRanker is free for use and is available at http://cbdm.mdc-berlin.de/tools/medlineranker.
- Addresses
- Computational Biology and Data Mining Group, Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse. 10, D-13125, Berlin, Germany. jean-fred.fontaine@mdc-berlin.de
- Autoren
- Jean-Fred Fontaine
- Adriano Barbosa-Silva
- Martin Schaefer
- Matthew R Huska
- Enrique M Muro
- Miguel A Andrade-Navarro
- DOI
- 10.1093/nar/gkp353
- eISSN
- 1362-4962
- Externe Identifier
- PubMed Identifier: 19429696
- PubMed Central ID: PMC2703945
- Open access
- true
- ISSN
- 0305-1048
- Ausgabe der Veröffentlichung
- Web Server issue
- Zeitschrift
- Nucleic acids research
- Schlüsselwörter
- Software
- User-Computer Interface
- Information Storage and Retrieval
- MEDLINE
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2009
- Open access status
- Open Access
- Paginierung
- W141 - W146
- Datum der Veröffentlichung
- 2009
- Status
- Published
- Publisher licence
- CC BY-NC
- Datum der Datenerfassung
- 2009
- Titel
- MedlineRanker: flexible ranking of biomedical literature.
- Sub types
- Research Support, Non-U.S. Gov't
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 37
Files
https://academic.oup.com/nar/article-pdf/37/suppl_2/W141/16758323/gkp353.pdf http://nar.oxfordjournals.org/cgi/reprint/37/suppl_2/W141.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19429696/pdf/?tool=EBI https://europepmc.org/articles/PMC2703945?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The biomedical literature is represented by millions of abstracts available in the Medline database. These abstracts can be queried with the PubMed interface, which provides a keyword-based Boolean search engine. This approach shows limitations in the retrieval of abstracts related to very specific topics, as it is difficult for a non-expert user to find all of the most relevant keywords related to a biomedical topic. Additionally, when searching for more general topics, the same approach may return hundreds of unranked references. To address these issues, text mining tools have been developed to help scientists focus on relevant abstracts. We have implemented the MedlineRanker webserver, which allows a flexible ranking of Medline for a topic of interest without expert knowledge. Given some abstracts related to a topic, the program deduces automatically the most discriminative words in comparison to a random selection. These words are used to score other abstracts, including those from not yet annotated recent publications, which can be then ranked by relevance. We show that our tool can be highly accurate and that it is able to process millions of abstracts in a practical amount of time. MedlineRanker is free for use and is available at http://cbdm.mdc-berlin.de/tools/medlineranker.
- Autoren
- Jean-Fred Fontaine
- Adriano Barbosa-Silva
- Martin Schaefer
- Matthew R Huska
- Enrique M Muro
- Miguel A Andrade-Navarro
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/19429696
- DOI
- 10.1093/nar/gkp353
- eISSN
- 1362-4962
- Externe Identifier
- PubMed Central ID: PMC2703945
- Ausgabe der Veröffentlichung
- Web Server issue
- Zeitschrift
- Nucleic Acids Res
- Schlüsselwörter
- Information Storage and Retrieval
- MEDLINE
- Software
- User-Computer Interface
- Sprache
- eng
- Country
- England
- Paginierung
- W141 - W146
- PII
- gkp353
- Datum der Veröffentlichung
- 2009
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2009
- Titel
- MedlineRanker: flexible ranking of biomedical literature.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 37
Datenquelle: PubMed
- Beziehungen:
- Eigentum von