Profiling Digital Collection Users: Using Google Analytics to Learn More about Users of an ETDs Collection
Metadata Field | Value | Language |
---|---|---|
dc.creator | Coates, Midge | |
dc.date.accessioned | 2014-06-13T13:35:45Z | |
dc.date.available | 2014-06-13T13:35:45Z | |
dc.date.created | 2013-07-24 | |
dc.date.issued | 2014-06-13 | |
dc.identifier.uri | http://hdl.handle.net/11200/46165 | |
dc.description.abstract | This poster presents preliminary Google Analytics usage data for a collection of electronic theses and dissertations (ETDs). Correlation of page views with page type, user location, and source (referring link) shows that, during the study period, most in-state users found the collection via internal sources (University links) and viewed mostly home and navigation pages, while most out-of-state users found the collection via external sources (search engines, databases) and viewed mostly bibliographic information pages. Nearly all of those who viewed actual ETDs were out-of-state “direct” users who may have bookmarked the collection during a previous visit. | en_US |
dc.format | en_US | |
dc.format.extent | 1 poster; 48 inches wide x 33 inches high | en_US |
dc.publisher | ACM; IEEE-CS | en_US |
dc.relation.ispartof | Joint Conference on Digital Libraries 2013 | en_US |
dc.subject | theses | en_US |
dc.subject | dissertations | en_US |
dc.subject | Web metrics | en_US |
dc.subject | use statistics | en_US |
dc.subject | user studies | en_US |
dc.subject | digital libraries | en_US |
dc.title | Profiling Digital Collection Users: Using Google Analytics to Learn More about Users of an ETDs Collection | en_US |
dc.type | Image | en_US |
dc.type.genre | Presentation, Poster Presentation | en_US |
dc.description.peerreview | Yes | en_US |
dc.creator.alternate | Coates, Mildred | |
dc.location | Indianapolis, IN | en_US |