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Leveraging metrics to support open access   2012-10-25
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Leveraging metrics to support open access 2012-10-25

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  • Promotion vs. interactionPeople metrics vs. artifact metricsTweets != citations

Leveraging metrics to support open access   2012-10-25 Leveraging metrics to support open access 2012-10-25 Presentation Transcript

  • Mike Buschman, Co-founder mike@plumanalytics.com @plumanalytics Leveraging Metricsto Support Open Access October 25, 2012
  • Green vs. Gold Open Access• Green • Self-archiving • About 80% of journals are “green” • Authors need to be aware and act • Keeps adoption from reaching its potential • Embargoes• Gold • Publishing model • Published version is openly available • About 5% of journals are “gold” • More scholarly publishers experimenting with OA journals
  • Scholarly publishers release newOpen Access journals
  • Plum Analytics Confidential4
  • Open access benefits to the researcher • Noted citation advantage • The Open Access Citation Advantage – Alma Swain, 2010 • The Effect of Free Access on the Diffusion of Scholarly Idea -- Heekyung Hellen Kim, MIT Sloan School of Management • Data Sharing Effect on Article Citation Rate in Paleoceanography – Jon Plum Analytics Confidential Sears 2011 (abstract) • Citation Advantage of Open Access Journals -- Gunther Eysenbach, 2006 • 71,000+ article views! • Avoiding Duplication • Unavoidable when scholarly communication is not open 5
  • IR Deposit Mandates Rise of “green” open access self-archiving mandates Plum Analytics Confidential 6 Source: Alma Swan 2009 http://optimalscholarship.blogspot.com/2009/05/multiplying-mandates.html
  • What’s in it for us? Plum Analytics Confidential7
  • Changing the focus on metrics how much your COUNTER university uses Plum Analytics Confidential the collection Article-level how much the metrics and world uses your research Plum 8
  • Metrics are not the same Plum Analytics Confidential9
  • Different categories of impact• Usage • Downloads, views, book holdings, ILL, document delivery• Captures • Favorites, bookmarks, saves, readers, groups, watchers Plum Analytics Confidential• Mentions • Blog post, news story, Wikipedia article, comments, review• Social Media • Tweets, Google +1s, likes, shares, ratings• Citations • Web of Science, Scopus, Google Scholar, Microsoft 10 Academic Search, patents
  • #altmetrics allmetrics altmetrics 11
  • What is Plum building?• Next generation impact analysis metrics for scholarly research.• Aggregating artifact and author level metrics into a research reputation graph.• Clicks, views, tweets, likes, links, tags, favorites, Google +1’s, Plum Analytics Confidential etc. will be captured and correlated. This graph will power intuitive research directories and visualizations at the artifact, researcher, lab, department, publication, and institution level. 12
  • Plum Impact Reports• Measure people, labs, departments, institute s, universities, museums, journals, e Plum Analytics Confidential tc. 13
  • Measuring the Modern ResearcherNicolas Pinto – PhD from MIT in 2010 • Some of his research is published. Plum Analytics Confidential • What other research is Pinto doing? How is his research being used? Promoted? Interacted with? 14 • What is Pinto’s real scientific impact?
  • Comparisons• He tweets:• He shares, and it is measurable: Plum Analytics Confidential • 1,204 slideshare views • 26 tweets • 2 Google +1 • 3 LinkedIn Shares • 1 Facebook Share, 1 like, 1 comment• All before his research is “published”• Web of Science cited-by count = 2 in 3 years 15• Google Citations does not list him yet
  • Plum Analytics Confidential16
  • Thank You! Mike Buschman mike@plumanalytics.com 206-331-7297 17