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Altmetrics for Librarians: a publisher dashboard, a university use case

This presentation provides an overview of altmetrics, their role in measuring academic impact, and introduces a new altmetrics dashboard for books. It also discusses the rise of altmetric data and correlation analysis between altmetric attention and citations.

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Altmetrics for Librarians: a publisher dashboard, a university use case

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  1. Altmetrics for Librarians: a publisher dashboard, a university use case By Timon Oefelein Springer, Account Development Manager, North Western Europe

  2. Table of Contents Definition of key terms Usage and citation metrics Altmetrics = the missing puzzle piece Dashboard for books and journals A note on all the numbers Important things to remember! The rise of altmetric data Correlation analysis What‘s next? 2:AM Amsterdam 2015

  3. 1. Definition of key terms Usage or downloads (COUNTER stats) Scholarly citations (CrossRef, GoogleScholar, Scopus) Non-scholarly citations: • Policydocuments • Blogs • Wikipedia • News • Social media: Twitter, Weibo, Facebook, Google+, Pinterest, Reddit Reads on Online Reference Managers: • Mendeley, CiteYouLike • Other sources: • YouTube, Reviews in F1000, PubPeer.. Articlel-mevel Metrics Altmetrics

  4. 2. Usage metrics SpringerLink.com Springer.com

  5. 2. Citation metrics SpringerLink.com Springer.com

  6. 3. Altmetrics = the missing piece of impact puzzle Usage and citations tell story about academic performance of article However, the metrics do not give insight into wider societal impact: • Are policy makers citing and acting on the research? • Is the media discussing the research? • Is the public/academia discussing research on social media? • And further, what is the size, speed, and demographic nature, of this societal response to research? The new altmetric data begins to answer these questions And therefore provides the „missing piece“ of the impact puzzle

  7. 4. New metrics dashboard for books! New metrics dashboard

  8. 4. The dashboard for books Data Sources

  9. 4. Click and the metrics take you here!

  10. Whole Book Chapters

  11. 4. Example of mentions in social media

  12. 4. Example of Mendeley readers and demographics Click heretogotoMendeleyfornumberofreaders per chapter

  13. 4. Social media sources (tracked since 2011) Mainstream media Over 1000 outlets, see Altmetric.com for full list Blogs Manual list of over 8000 academic and non-academic blogs Policy documents Mainly English language but increasingly international Online Reference Managers Mendeley and Cite You Like Post Publication: PubPeer, Publons Social Media: Twitter, Facebook, Google+, Pinterest, Reddit, Sina-Weibo, Other Sources Wikipedia, Reviews in F1000, YouTube, etc.

  14. 4. SpringerLink – new altmetrics dashboard Citations Mentions

  15. 4. Special citations page on Springer.com

  16. 4. Linkout is to article’s entry in Altmetric.com Social media authors or unique sources

  17. 5. A note on all the numbers SpringerLink shows the raw data or total number of mentions, 574 mentions Altmetric.com shows the total number of „unique sources“, 486 sources Altmetric.com shows weighted score,379 (only for articles, not for chapters!)

  18. 5. Altmetric scoreboard and modifiers Blogs, Google+, Facebook sources: straightforward point conversion News and Twitter, Score modifiers: • News: 1-10 points, depending one of four tiers • Twitter:Re-tweets/re-posts = 0.85 points rather than 1 point • Also, profile of tweeter is analyzed for reach, promiscuity, bias All points are added up for the final Altmetric Score Mendeley and CiteYouLike readers are excluded from the calculation • Using a scoreboard, each „mentioned by“ source is assigned points 10

  19. 6. The rise of altmetric data Each day, Altmetric tracks 44 000 new mentions Each week, 50 000 unique articles are shared So far, nearly 4 million articles and DOIs have been mentioned Mentions range in complexity, from quick shares to reviews

  20. 7. Things to remember! Altmetric data measures attention and not quality Altmetric data measures public attention and not private attention There are different types of data Scores are not normalized and do not reflect norms within subject areas Look beyond the numbers for a story of impact Correlation studies: • low correlation between altmetric attention & citations • moderate correlation between altmetric attention & downloads

  21. 8. Correlation analysis

  22. 9. What’s next! Dataset 00001100010010101010101010010101011001010100010101001010101010101010101010101010011001010101010101010101011111100101010101010101000011111111 ? DOI

  23. 10. Want to learn more! • www.altmetricsconference.com/ • 7-8 October 2015 • Keynotetalkby Simon Singh • Travel grantsavailable, applyby 31 July • Supportedby:

  24. This presentation is available for download: www.impactstory.org/timonoefelein

  25. Thank You!For Questions:Timon Oefelein: timon.oefelein@springer.comAccount Development Manager, NW EuropeMartijn Roelandse: martijn.roelandse@springer.comPublishing Innovation ManagerAltmetric.com: support@altmetric.com

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