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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Documenta...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Documentation
Article . 2000 . Peer-reviewed
License: Emerald Insight Site Policies
Data sources: Crossref
DBLP
Article . 2000
Data sources: DBLP
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Patterns of use of electronic journals

Authors: Ken Eason; Sue Richardson; Liangzhi Yu;

Patterns of use of electronic journals

Abstract

On the basis of a twenty‐two month transaction log of SuperJournal and using K‐Means cluster analysis, this paper classifies a spectrum of user behaviour with electronic journals into a typology of eight categories of user (or eight patterns of use): the searcher, the enthusiastic user, the focused regular user, the specialised occasional user, the restricted user, the lost user, the exploratory user and the tourist. It examines the background and experience with SuperJournal of each type of user to illuminate its formation. The examination shows that the contents (both coverage and relevance) and ease of use of a system as they were perceived by the user were the most significant factors affecting patterns of use. Users’ perceptions of both factors were affected by a range of intervening factors such as discipline, status, habitual approach towards information management, availability of alternative electronic journal services, purpose of use, etc. As any service is likely to attract a great variety of users, so will it lead to differing patterns of use. This paper demonstrates the need for a service to meet the requirements of users with these varied patterns.

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    popularity
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    Average
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Average
Top 10%
Top 10%
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