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Utopia Documents
Developer(s)Lost Island Labs Ltd., a spin-out from the University of Manchester
Operating systemWindows XP, Windows Vista, Windows 7
Mac OS X 10.6 and later
Debian Linux
PlatformDesktop computer, Laptop computer
SizeWindows: 28.2 MB
Mac OS X: 33.8 MB
TypePDF software
LicenseGNU Public License v3
Websiteutopiadocs.com

Utopia Documents is a semantic, scientific, web-enabled PDF reader that is part of the Utopia toolset. Utopia Documents can be downloaded for free.[1][2][3][4][5]

Utopia provides links to web resources and metadata.[6] Although Utopia is a PDF-reader, it bridges the web-connectivity gap with HTML content by making normally static PDFs fully web-enabled (as long as the user is online).

Since June 2, 2014, Utopia Documents changed their license to become open source under GPLv3.

Versions

Utopia Documents v. 3.1 is available for Microsoft Windows (XP, Vista and Windows 7), Mac (OS X 10.6 (Snow Leopard) and above) and Linux (beta).

Software Features

Utopia Documents can be used in the same way as any other PDF reader, such as Adobe Acrobat Reader or the Preview application on a Mac. The application's workspace is split into three main panes (which can be collapsed): the PDF file itself is displayed on the left, a 'pager' is displayed at the bottom, and a sidebar to the right. The pager allows you to scan back and forth through the document and to move rapidly from one page to another. Although you can use Utopia Documents to look at any PDF file, the software really comes into its own as a reader for scholarly papers in the biomedical and biochemical fields.

Data Sources

The following data sources are accessed in Utopia Documents and activated automatically when there is relevant content to display:

References

  1. ^ Attwood, T. K.; Kell, D. B.; McDermott, P.; Marsh, J.; Pettifer, S. R.; Thorne, D. (2010). "Utopia documents: Linking scholarly literature with research data". Bioinformatics. 26 (18): i568–i574. doi:10.1093/bioinformatics/btq383. PMC 2935404. PMID 20823323.
  2. ^ Attwood, T. K.; Kell, D. B.; McDermott, P.; Marsh, J.; Pettifer, S. R.; Thorne, D. (2009). "Calling International Rescue: Knowledge lost in literature and data landslide!". Biochemical Journal. 424 (3): 317–333. doi:10.1042/BJ20091474. PMC 2805925. PMID 19929850.
  3. ^ Pettifer, S.; McDermott, P.; Marsh, J.; Thorne, D.; Villeger, A.; Attwood, T. K. (2011). "Ceci n'est pas un hamburger: Modelling and representing the scholarly article". Learned Publishing. 24 (3): 207. doi:10.1087/20110309.
  4. ^ Pafilis, E.; O'Donoghue, S. N. I.; Jensen, L. J.; Horn, H.; Kuhn, M.; Brown, N. P.; Schneider, R. (2009). "Reflect: Augmented browsing for the life scientist". Nature Biotechnology. 27 (6): 508–510. doi:10.1038/npre.2009.3212.1. PMID 19513049.
  5. ^ Attwood TK. Utopia documents and the semantic Biochemical Journal experiment. EMBnet.journal. 2010;15(4).
  6. ^ Attwood, T. K.; Kell, D. B.; McDermott, P.; Marsh, J.; Pettifer, S. R.; Thorne, D. (2010-09-15). "Utopia documents: linking scholarly literature with research data". Bioinformatics. 26 (18): i568–i574. doi:10.1093/bioinformatics/btq383. ISSN 1367-4803. PMC 2935404. PMID 20823323.
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