Who knows about the future?
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Transcript of Who knows about the future?
But what do we know?
• Competition is fierce
• Competition is from new directions
• Communities still form around
interests
• And medics read more, and faster
Medics read more, faster
Work fieldArticles read
(per year)
Time spent
(hours)
Time per
article (min)
Univ. Med. ~322 118 22
Chemists ~276 198 43
Life
scientists~239 104 26
Physicists ~204 153 45
Soc
Sci/Psych~191 121 38
Engineers ~72 97 81
Source: Tenopir, User behavior across international and disciplinary boundaries
So, what’s new?
• Interfaces
• Interactions
• Integration
• New models
Each taken
in turn, with
examples
and a few
comments
Interactions
• Letters to the editor Comments, blogs
• Aggregate metrics Article metrics
• Readers Unique users
Like these on
http://realtime.springer.com
Cool, but are they useful?
Integration
• Of digital tools into editors workflows
• Of content and tools into research,
teaching, learning workflows
• Of content into practice, point of
care, and decision support tools
Tools for editors
This is a CrossCheck report on a presentation I gave about plagiarism with a 36% “similarity index”
http://tmbot.wordpress.com/2010/10/15/sustainable-business-strategies-for-smes-in-a-dying-industry/
New models
• It all needs a business model
– Subscriptions, rental (reader, library pays)
– Open access (author, funder pays)
– Online advertising (sponsor pays)
– Others… versus… none at all?
0.05%
Authors paying to publish „open access‟ accounts for 0.05% of Elsevier‟s total revenues.
http://www.elsevier.com/wps/find/authorshome.authors/sponsoredarticles