Digital libraries: situating use in changing information infrastructure
Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
Information-seeking behavior of chemists: a transaction log analysis of referral URLs
Journal of the American Society for Information Science and Technology
The acceptance of electronic journals in UK higher education
Information Services and Use
Employing log metrics to evaluate search behaviour and success: case study BBC search engine
Journal of Information Science
Website usage metrics: A re-assessment of session data
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
WISE '08 Proceedings of the 2008 international workshops on Web Information Systems Engineering
Standard parameters for searching behaviour in search engines and their empirical evaluation
Journal of Information Science
An evaluation framework of user interaction with metadata surrogates
Journal of Information Science
Empirical observations on the session timeout threshold
Information Processing and Management: an International Journal
Investigating the distributional property of the session workload
Journal of Web Engineering
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
One of these things is not like the others: how users search different information resources
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Investigating document triage on paper and electronic media
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars - academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name 'deep'. In this connection the usage of two digital journal libraries, those of Emerald Insight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber ("Big Deal", non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.