Leveraging metrics to support open access 2012-10-25
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This document discusses open access to scholarly research and how impact metrics can support open access. It summarizes that there are two main types of open access - green, which involves author self-archiving, and gold, which involves publishing in open access journals. It then discusses how open access provides benefits to researchers like increased citations and avoiding duplication. Finally, it introduces Plum Analytics and how they are developing new metrics and tools to better measure the impact and reputation of scholarly research across various sources beyond traditional citations.
Leveraging metrics to support open access 2012-10-25
- 1. Mike Buschman, Co-founder mike@plumanalytics.com @plumanalytics Leveraging Metrics to Support Open Access October 25, 2012
- 2. 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
- 3. Scholarly publishers release new Open Access journals
- 5. 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
- 6. 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
- 7. What’s in it for us? Plum Analytics Confidential 7
- 8. 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
- 9. Metrics are not the same Plum Analytics Confidential 9
- 10. 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
- 12. 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
- 13. Plum Impact Reports • Measure people, labs, departments, institute s, universities, museums, journals, e Plum Analytics Confidential tc. 13
- 14. Measuring the Modern Researcher Nicolas 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?
- 15. 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
- 17. Thank You! Mike Buschman mike@plumanalytics.com 206-331-7297 17
Editor's Notes
- #10: Promotion vs. interactionPeople metrics vs. artifact metricsTweets != citations