@article{huntington2008website,
  abstract = {Metrics derived from user visits or sessions provide a means of evaluating Websites and an important insight into online information seeking behaviour, the most important of them being the duration of sessions and the number of pages viewed in a session, a possible busyness indicator. However, the identification of session (termed often ‘sessionization’) is fraught with difficulty in that there is no way of determining from a transactional log file that a user has ended their session. No one logs out. Instead a session delimiter has to be applied and this is typically done on the basis of a standard period of inactivity. To date researchers have discussed the issue of a time out delimiter in terms of a single value and if a page view time exceeds the cut-off value the session is deemed to have ended. This approach assumes that page view time is a single distribution and that the cut-off value is one point on that distribution. The authors however argue that page time distribution is composed of a number of quite separate view time distributions because of the marked differences in view times between pages (abstract, contents page, full text). This implies that a number of timeout delimiters should be applied. Employing data from a study of the OhioLINK digital journal library, the authors demonstrate how the setting of a time out delimiter impacts on the estimate of page view time and the number of estimated session. Furthermore, they also show how a number of timeout delimiters might apply and they argue that this gives a better and more robust estimate of the number of sessions, session time and page view time compared to an application of a single timeout delimiter.},
  author = {Huntington, Paul and Nicholas, David and Jamali, Hamid R.},
  doi = {10.1016/j.ipm.2007.03.003},
  interhash = {ba30ef785efd6a424b6e05b94cadb536},
  intrahash = {565f363f36a9a0a14c7ac44824ec91ad},
  issn = {0306-4573},
  journal = {Information Processing & Management},
  note = {Evaluation of Interactive Information Retrieval Systems},
  number = 1,
  pages = {358 - 372},
  title = {Website usage metrics: A re-assessment of session data},
  url = {http://www.sciencedirect.com/science/article/pii/S0306457307000817},
  volume = 44,
  year = 2008
}

@article{nicholas2007diversity,
  abstract = {The logs of four universities using the OhioLINK journal system were evaluated for a period of fifteen months using deep log analysis methods in order to compare and contrast the information seeking behaviour of their users. Large differences were found, especially between the research and teaching universities. Methodological problems associated with making the comparisons are discussed in some detail especially in terms of defining online sessions.},
  author = {Nicholas, David and Huntington, Paul and Jamali, Hamid R.},
  doi = {10.1016/j.acalib.2007.09.001},
  interhash = {c9f65d90c47bbd601ae18bba74e329a8},
  intrahash = {f4c269e2086b8624c1c0c59ed075d677},
  issn = {0099-1333},
  journal = {The Journal of Academic Librarianship},
  number = 6,
  pages = {629 - 638},
  title = {Diversity in the Information Seeking Behaviour of the Virtual Scholar: Institutional Comparisons},
  url = {http://www.sciencedirect.com/science/article/pii/S0099133307001759},
  volume = 33,
  year = 2007
}

@article{nicholas2005scholarly,
  address = {Bingley},
  author = {Nicholas, David and Huntington, Paul and Watkinson, Anthony},
  interhash = {10580bc4cff2d14ca913b1682e728c9a},
  intrahash = {8e733e3b55a1a648c6e5070d347c43dc},
  journal = {Journal of Documentation},
  number = 2,
  pages = {248--280},
  publisher = {Emerald Group Publishing Limited},
  title = {Scholarly journal usage: the results of deep log analysis},
  url = {http://www.emeraldinsight.com/journals.htm?articleid=1465024&show=abstract},
  volume = 61,
  year = 2005
}