@inproceedings{zoller2015publication,
  abstract = {Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.},
  author = {Zoller, Daniel and Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 2015 ACM Conference on Web Science},
  interhash = {3515b34cd19959cee5fafbf4467a75ed},
  intrahash = {548a7010ee2726f28e04e5c6e5fd6e2d},
  title = {On Publication Usage in a Social Bookmarking System},
  year = 2015
}

@inproceedings{abrams1998information,
  acmid = {274651},
  address = {New York, NY, USA},
  author = {Abrams, David and Baecker, Ron and Chignell, Mark},
  booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  doi = {10.1145/274644.274651},
  interhash = {fbb2704604de0954b432c8615a0abf5b},
  intrahash = {a9a25a144cec844bcd7daeace4a548aa},
  isbn = {0-201-30987-4},
  location = {Los Angeles, California, USA},
  numpages = {8},
  pages = {41--48},
  publisher = {ACM Press/Addison-Wesley Publishing Co.},
  series = {CHI '98},
  title = {Information archiving with bookmarks: personal Web space construction and organization},
  url = {http://dx.doi.org/10.1145/274644.274651},
  year = 1998
}

@article{Haustein2011446,
  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 = {60170943fb293bcb54754710ec9dced1},
  issn = {1751-1577},
  journal = {Journal of Informetrics},
  number = 3,
  pages = {446 - 457},
  title = {Applying social bookmarking data to evaluate journal usage},
  url = {http://www.sciencedirect.com/science/article/pii/S1751157711000393},
  volume = 5,
  year = 2011
}