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Measuring impact in online resources with the CInumber (the CitedIn Number for online
impact)Andra Waagmeester & Chris Evelo
Maastricht University, Department Bioinformatics, Maastricht the Netherlands
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Overview
●CitedIn: An introduction (live demo||screendumps)
●A brief history (Context)●Included resources●Why we need a metric●The CI numberN
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Context
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Text mining workflow
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● Supplementary data– Ares: active antioxidant responsive elements– HIF TFBS transcription factor complex composed of HIF1A and ARNT.– Gene expression regulation by retinoic acid
● Online databases– Uniprot– Deja Vu: a Database of Highly Similar Citations– Jaspar
● Internet publications– WikiPathways– Wikipedia– Blogs
● Social sharing networks– Mendeley– Connotea– CiteULike
CitedIn considers
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CitedIn (http://www.citedin.org)
CitedIn aims to:● Expand the “impact factor” of articles.● Direct traffic to and from online resources via
published literature.● Increase participation in the curation of online
resources leading towards higher quality in online resources.
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CI-number
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The CI-number is
● Normalized on the total number of citations in a resource.
● Contains weights for each resource to indicate the “strength of the citation.
● Calculated “on the fly”● Cached● Broadcast through email or twitter
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Future work
● Expand CitedIn with DOI search to cover other research domains, not covered by Pubmed
● Improve the caching of the federated cinumber calculation
● Introduce RSS support● Introduce login● Secure continuity
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Acknowledgements
Maastricht University● Thomas Kelder● Chris Evelo
USC – SF● Alexander Pico
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Questions/Suggestions
?/!
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