Science 2.0 and Article Level Metrics Intro

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    Science 2.0 and Article Level Metrics Intro - Presentation Transcript

    1. Science 2.0 basics and some examples Endre Sebestyén 2009 09.30.
    2. Web 2.0 – Open source
      • Impact of web 2.0
        • Impact on journal/article publishing
        • Participation of scientists
        • Structuring and mining information
      • Impact of open source
        • Open access journals
        • Open data and datasharing
        • Open science and research
    3. Three examples
      • PLoS ONE: Background, future development, and article-level metrics by Peter Binfield
      • Microblogging the ISMB: A New Approach to Conference Reporting by Neil Saunders et al.
      • The Gene Wiki: Community Intelligence Applied to Human Gene Annotation by Jon W. Huss III et al.
    4. Public Library of Science
      • PLoS Biology – 2003
        • Aim: a high quality open access journal
      • PLoS Medicine, Pathogenes, Genetics, Computational Biology, Neglected Tropical Diseases
      • They soon became high-quality titles in their field
    5. PLoS ONE
      • It is for every scientific discipline
      • Online only and fully open access
      • Peer review focuses on scientific rigor, not on “impact”, “interest”, “advance in the field”, etc
      • Using web 2.0 and internet, you can
        • Rate articles
        • Comment them
        • Leave trackbacks
    6. PLoS ONE
      • Pre-publication actions
        • Peer review only for the scientific validity
          • Experiment are well designed
          • Correct statistical tests are used
          • Etc
      • Post-publication actions
        • How impactful is the article?
        • Does it advance the field?
        • Feedback, discussion, etc
    7. PLoS ONE interface
    8. Article level metrics
      • Traditional: Impact factors and other similar factors
        • They are for ALL of the articles appearing in a given journal
        • It is widely misused and easily manipulated
        • High IF brings more subscribers, more articles so it has content and financial benefits
        • It is a poor measure AND the industry supports it.
      • What is the REAL scientific contribution of a given article, author, etc?
      • Bad examples:
        • Cereal Research Communications
        • PNAS and its editorial policy (changed/will change recently)
    9. Article level metrics
      • Citation activity in the literature
        • Scopus
        • Pubmed Central
      • Blog coverage
        • Similar to media coverage, for a wider audience
        • Postgenomic
        • Nature blogs
        • Bloglines
      • Trackback data
    10. Article level metrics
      • Comments and notes
      • Social bookmarking
        • “ wisdom of the crowd”
          • Delicious.com
          • Connotea
          • CiteULike
      • Numerical ratings
        • 1-5 stars
      • Download statistics
        • HTML
        • PDF
        • XML
    11. Other examples
      • BMC Research Notes
      • Nature Communications
        • Similar to PLoS ONE
        • Rapid publication of research
        • Open access
    12. Participation, social networking, etc
      • Web 2.0 “keywords”
        • Blogs, microblogs
        • Social networks
        • Wikipedia
        • Community annotation
      • Good for
        • Preliminary result sharing
        • Discussing ideas
        • Sharing experimental data
    13. Some web 2.0 resources
      • Online bookmarking/article sharing
        • Delicious http://delicious.com
        • Connotea http://connotea.org
        • CiteULike http://citeulike.org
        • Mendeley http://mendeley.com
      • Networks
        • LinkedIn http://linkedin.com
        • Nature Networks http://network.nature.com
        • MyExperiment http://myexperiment.org
      • Communication/sharing ideas/discussion
        • Twitter http://twitter.com
        • FriendFeed http://friendfeed.com
      • Sharing documents
        • Slideshare http://slideshare.net
    14. An example of online collaboration
      • From http://plindenbaum.blogspot.com
      • The Gene Wiki: Community Intelligence Applied to Human Gene Annotation by Jon W. Huss III et al.
      • Started with “just” an innocent question
      • Several of them never met in person.
    15. Yet another article
      • Microblogging the ISMB: A New Approach to Conference Reporting by Neil Saunders et al.
        • ISMB is the larges bioinformatics/comp.biol. conference
        • Lots of parallel sessions, talks, huge audience, etc
        • The authors used a microblogging platform ( http://friendfeed.com ) to cover presentations
          • Multiple parallel notes cover presentations much better
          • Allows participation of non-attendees
          • Generates an archive of the conference

    + Endre SebestyénEndre Sebestyén, 2 months ago

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