Free UKSG webinar - Altmetrics for Librarians: a publisher dashboard, a university use case
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Transcript of Free UKSG webinar - Altmetrics for Librarians: a publisher dashboard, a university use case
By Timon Oefelein
Springer, Account Development Manager, North Western Europe
Altmetrics for Librarians: a publisher dashboard, a university use case
1. Definition of key terms
2. Usage and citation metrics
3. Altmetrics = the missing puzzle piece
4. Dashboard for books and journals
5. A note on all the numbers
6. Important things to remember!
7. The rise of altmetric data
8. Correlation analysis
9. What‘s next?
10. 2:AM Amsterdam 2015
Table of Contents
• Usage or downloads (COUNTER stats)
• Scholarly citations (CrossRef, GoogleScholar, Scopus)
• Non-scholarly citations:
Policy documents
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..
1. Definition of key terms
AltmetricsArticlel-mevel
Metrics
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
4. Example of Mendeley readers and demographics
Click here to go to Mendeley for number of readers per chapter
• 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.
4. Social media sources (tracked since 2011)
• 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!)
5. A note on all the numbers
• Using a scoreboard, each „mentioned by“ source is assigned points
• 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
5. Altmetric scoreboard and modifiers
10
• 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
6. The rise of altmetric data
1. Altmetric data measures attention and not quality
2. Altmetric data measures public attention and not private attention
3. There are different types of data
4. Scores are not normalized and do not reflect norms within subject areas
5. Look beyond the numbers for a story of impact
6. Correlation studies: low correlation between altmetric attention & citations moderate correlation between altmetric attention & downloads
7. Things to remember!
9. What’s next!
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DOI
Dataset
?
10. Want to learn more!
• www.altmetricsconference.com/• 7-8 October 2015
• Amsterdam • Keynote talk by Simon Singh• Travel grants available, apply by 31 July• See you there! • Supported by:
Thank You!
For Questions:
Martijn Roelandse: [email protected] Innovation Manager
Timon Oefelein: [email protected] Development Manager, NW Europe
Altmetric.com: [email protected]