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Metrics:
The New Black?
  Kristen Fisher Ratan
      NFAIS 2012
The web is getting personal
Can Web Metrics Indicate
   Research Impact?
Metrics:
The New Black?
  Kristen Fisher Ratan
      NFAIS 2012
Research Dissemination
          IS
   Research Impact
Dissemination creates indicators
of impact



 Publication       Dissemination




Article Level    • Citations
                 • Web usage
Metrics (ALMs)   • Star Ratings
                 • Social bookmarking
                 • Community rating
                 • Media/blog coverage
                 • Commenting activity
                 • and more…
ALMs: Two Traditional Use Cases
 Author                                Researcher/Writer/Journalist



  Self-Metrics                            Research & Discovery
   Measure the impact and reach of       Gauge value of any article with
   their work                            post-publication peer review

   Benchmark article performance         Conduct custom searches that
   against others                        account for research impact
                                         Collect relevant articles and
   Evaluate publication decisions to
                                         organize based upon array of
   maximize the impact of their work
                                         criteria
                                         Gain insight into article’s impact
   Understand readership
                                         within context of related research
   Communicate impact of research to
                                         Analyze trends/behaviors across a
   employers, funders, potential
                                         database of academic literature
   collaborators



                  The Third?
           Meta-analysis using large
               datasets of ALMs
Beyond the Article
Usage isn’t always indicative




                                1595 Tweets
Inside the Article
Powerpoint download feature inadvertently
        tracked sub-article usage
New feature may be able to
 track cut/paste activities
90%
To Measure is to Know
Let’s get tracking
•   Cut/paste
•   Figures opened, downloaded
•   Links clicked
•   Time spent on article page
•   Supplemental info viewed
•   Authors’ info viewed
•   Pathways that info travels
•   ALMs viewed and used

        To understand true use of
                context
What Might Data Drive?
•   Tenure and promotion
•   Grants
•   Reputation
•   Discovery
•   Prioritization




             $ Attention:
         the new currency
Caveats and concerns
•   Missed citation data
•   Data sources aren’t reliable
•   Digital addresses change
•   Usage doesn’t mean useful
•   Deliberate gaming
•   Context
Next: Context-Mining
Thank You!

Kristen Fisher Ratan
    kratan@plos.org

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Metrics: The New Black?

  • 1. Metrics: The New Black? Kristen Fisher Ratan NFAIS 2012
  • 2. The web is getting personal
  • 3.
  • 4.
  • 5.
  • 6. Can Web Metrics Indicate Research Impact?
  • 7. Metrics: The New Black? Kristen Fisher Ratan NFAIS 2012
  • 8. Research Dissemination IS Research Impact
  • 9. Dissemination creates indicators of impact Publication Dissemination Article Level • Citations • Web usage Metrics (ALMs) • Star Ratings • Social bookmarking • Community rating • Media/blog coverage • Commenting activity • and more…
  • 10.
  • 11.
  • 12.
  • 13. ALMs: Two Traditional Use Cases Author Researcher/Writer/Journalist Self-Metrics Research & Discovery Measure the impact and reach of Gauge value of any article with their work post-publication peer review Benchmark article performance Conduct custom searches that against others account for research impact Collect relevant articles and Evaluate publication decisions to organize based upon array of maximize the impact of their work criteria Gain insight into article’s impact Understand readership within context of related research Communicate impact of research to Analyze trends/behaviors across a employers, funders, potential database of academic literature collaborators The Third? Meta-analysis using large datasets of ALMs
  • 15. Usage isn’t always indicative 1595 Tweets
  • 16.
  • 18. Powerpoint download feature inadvertently tracked sub-article usage
  • 19. New feature may be able to track cut/paste activities
  • 20. 90%
  • 21. To Measure is to Know
  • 22. Let’s get tracking • Cut/paste • Figures opened, downloaded • Links clicked • Time spent on article page • Supplemental info viewed • Authors’ info viewed • Pathways that info travels • ALMs viewed and used To understand true use of context
  • 23. What Might Data Drive? • Tenure and promotion • Grants • Reputation • Discovery • Prioritization $ Attention: the new currency
  • 24. Caveats and concerns • Missed citation data • Data sources aren’t reliable • Digital addresses change • Usage doesn’t mean useful • Deliberate gaming • Context
  • 26.
  • 27. Thank You! Kristen Fisher Ratan kratan@plos.org