@article{dunne2012rapid,
  abstract = {Keeping up with rapidly growing research fields, especially when there are multiple interdisciplinary sources, requires substantial effort for researchers, program managers, or venture capital investors. Current theories and tools are directed at finding a paper or website, not gaining an understanding of the key papers, authors, controversies, and hypotheses. This report presents an effort to integrate statistics, text analytics, and visualization in a multiple coordinated window environment that supports exploration. Our prototype system, Action Science Explorer (ASE), provides an environment for demonstrating principles of coordination and conducting iterative usability tests of them with interested and knowledgeable users. We developed an understanding of the value of reference management, statistics, citation text extraction, natural language summarization for single and multiple documents, filters to interactively select key papers, and network visualization to see citation patterns and identify clusters. A three-phase usability study guided our revisions to ASE and led us to improve the testing methods.},
  author = {Dunne, Cody and Shneiderman, Ben and Gove, Robert and Klavans, Judith and Dorr, Bonnie},
  doi = {10.1002/asi.22652},
  interhash = {f031d712f64663242af6b6ec95b74f48},
  intrahash = {045df67628ff0ae9b75bb1ecf915d025},
  issn = {1532-2890},
  journal = {Journal of the American Society for Information Science and Technology},
  number = 12,
  pages = {2351--2369},
  title = {Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization},
  url = {http://dx.doi.org/10.1002/asi.22652},
  volume = 63,
  year = 2012
}

@incollection{pieper2009wissenschaftliche,
  abstract = {Dieser Beitrag untersucht, in welchem Umfang Dokumente von Dokumentenservern wissenschaftlicher Institutionen in den allgemeinen Suchmaschinen Google und Yahoo nachgewiesen sind und inwieweit wissenschaftliche Suchmaschinen für die Suche nach solchen Dokumenten besser geeignet sind. Dazu werden die fünf Suchmaschinen BASE, Google Scholar, OAIster, Scientific Commons und Scirus überblickartig beschrieben und miteinander verglichen. Hauptaugenmerk wird dabei auf die unterschiedlichen Inhalte, Suchfunktionen und Ausgabemöglichkeiten gelegt, mit Hilfe eines Retrievaltests wird speziell die Leistungsfähigkeit der Suchmaschinen beim Auffinden von Dokumenten, deren Volltexte im Sinne des Open Access direkt und ohne Beschränkungen aufrufbar sind, untersucht.},
  author = {Pieper, Dirk and Wolf, Sebastian},
  booktitle = {Handbuch Internet-Suchmaschinen: Nutzerorientierung in Wissenschaft und Praxis},
  editor = {Dirk, Lewandowski},
  interhash = {b915fb45a9a6dc3499247e76992c7897},
  intrahash = {1f997db426731303690c9bb962f1c158},
  pages = {356--374},
  publisher = {Akademische Verlagsgesellschaft AKA},
  title = {Wissenschaftliche Dokumente in Suchmaschinen},
  url = {http://eprints.rclis.org/12746/},
  year = 2009
}

@inproceedings{lawrence1999indexing,
  abstract = {<par>The web has greatly improved access to scientific literature. However, scientific articles on the web are largely disorganized, with research articles being spread across archive sites, institution sites, journal sites, and researcher homepages. No index covers all of the available literature, and the major web search engines typically do not index the content of Postscript/PDF documents at all. This paper discusses the creation of digital libraries of scientific literature on the web, including the efficient location of articles, full-text indexing of the articles, autonomous citation indexing, information extraction, display of query-sensitive summaries and citation context, hubs and authorities computation, similar document detection, user profiling, distributed error correction, graph analysis, and detection of overlapping documents. The software for the system is available at no cost for non-commercial use.</par>},
  acmid = {319970},
  address = {New York, NY, USA},
  author = {Lawrence, Steve and Bollacker, Kurt and Giles, C. Lee},
  booktitle = {Proceedings of the eighth international conference on Information and knowledge management},
  doi = {10.1145/319950.319970},
  interhash = {09c20b905496b3fba782688018d948b0},
  intrahash = {8f79ea9ca0db12c8bf853dcceed20eb3},
  isbn = {1-58113-146-1},
  location = {Kansas City, Missouri, United States},
  numpages = {8},
  pages = {139--146},
  publisher = {ACM},
  title = {Indexing and retrieval of scientific literature},
  url = {http://doi.acm.org/10.1145/319950.319970},
  year = 1999
}

@booklet{nn2011article,
  author = {N.N.},
  howpublished = {Brochure},
  interhash = {f4c36889c40205600542b11c4d3b153e},
  intrahash = {3da1baac19bc69f7b31a59098e0c20a8},
  title = {How To Get Your Article Published},
  year = 2011
}

@article{haustein2011applying,
  abstract = {Web 2.0 technologies are finding their way into academics: specialized social bookmarking services allow researchers to store and share scientific literature online. By bookmarking and tagging articles, academic prosumers generate new information about resources, i.e. usage statistics and content description of scientific journals. Given the lack of global download statistics, the authors propose the application of social bookmarking data to journal evaluation. For a set of 45 physics journals all 13,608 bookmarks from CiteULike, Connotea and BibSonomy to documents published between 2004 and 2008 were analyzed. This article explores bookmarking data in STM and examines in how far it can be used to describe the perception of periodicals by the readership. Four basic indicators are defined, which analyze different aspects of usage: Usage Ratio, Usage Diffusion, Article Usage Intensity and Journal Usage Intensity. Tags are analyzed to describe a reader-specific view on journal content.},
  author = {Haustein, Stefanie and Siebenlist, Tobias},
  doi = {10.1016/j.joi.2011.04.002},
  interhash = {13fe59aae3d6ef95b529ffe00ede4126},
  intrahash = {509f3fdb38fffc50bd2a232bb6800b83},
  issn = {1751-1577},
  journal = {Journal of Informetrics},
  pages = { - },
  title = {Applying social bookmarking data to evaluate journal usage},
  url = {http://www.sciencedirect.com/science/article/B83WV-52S72KS-1/2/a1b5622db7d1b63e2a1078669e0b9960},
  volume = {In Press, Corrected Proof},
  year = 2011
}

@article{benz2010social,
  abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.},
  address = {Berlin/Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c9437d5ec56ba949f533aeec00f571e3},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  month = dec,
  number = 6,
  pages = {849--875},
  publisher = {Springer},
  title = {The Social Bookmark and Publication Management System {BibSonomy}},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf},
  volume = 19,
  year = 2010
}