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Bioinformatics
Article . 2007 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Bioinformatics
Article
License: implied-oa
Data sources: UnpayWall
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Bioinformatics
Article . 2007
DBLP
Article . 2020
Data sources: DBLP
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BioText Search Engine: beyond abstract search

Authors: Marti A. Hearst; Anna Divoli; Harendra Guturu; Alex Ksikes; Preslav Nakov; Michael A. Wooldridge; Jerry Ye;

BioText Search Engine: beyond abstract search

Abstract

Abstract Summary: The BioText Search Engine is a freely available Web-based application that provides biologists with new ways to access the scientific literature. One novel feature is the ability to search and browse article figures and their captions. A grid view juxtaposes many different figures associated with the same keywords, providing new insight into the literature. An abstract/title search and list view shows at a glance many of the figures associated with each article. The interface is carefully designed according to usability principles and techniques. The search engine is a work in progress, and more functionality will be added over time. Availability: http://biosearch.berkeley.edu Contact: divoli@ischool.berkeley.edu and hearst@ischool.berkeley.edu

Related Organizations
Keywords

Abstracting and Indexing, Artificial Intelligence, Database Management Systems, Information Storage and Retrieval, Biology, Databases, Bibliographic, Natural Language Processing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    119
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
119
Top 10%
Top 1%
Top 10%
gold