Altmetrics for Librarians:
a publisher dashboard, a university
use case
By Timon Oefelein
Springer, Account Development Manager, North Western Europe
Table of Contents
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
1. Definition of key terms
• 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..
Articlel-mevel
Altmetrics
Metrics
2. Usage metrics
Books
Journals
Institutional Level
Reports
BR2 and BR3
Global Level
Downloads per chapter
and book title
SpringerLink.com
Springer.com
Institutional Level
Reports
JR1, JR1a, JR2, JR5
Global Level
1. Downloads per journal
2. Journal Usage Factor
3. PubMed Link Out Stats
2. Citation metrics
Books
Citations to all book
chapters and title
Journals
Citations per article
- Cites/article/web page
- Citations per journal
- Impact Factor
- SNIP (normalized)
- SJR (SCImago..)
- Google’s H5 Index
SpringerLink.com
Springer.com
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. New metrics dashboard for books!
New metrics dashboard
4. The dashboard for books
Data Sources
4. Click and the metrics take you here!
Whole Book
Chapters
4. Example of mentions in social media
4. Example of Mendeley readers and demographics
Click here to go to Mendeley for
number of readers per chapter
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.
4. SpringerLink – new altmetrics dashboard
Citations
Mentions
4. Special citations page on Springer.com
4. Linkout is to article’s entry in Altmetric.com
Social media authors
or unique sources
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!)
5. Altmetric scoreboard and modifiers
• Using a scoreboard, each „mentioned by“ source is assigned points
10
• 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
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
7. Things to remember!
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
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8. Correlation analysis
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Total number of citations
Total number of online mentions
Total number of Mendeley readers
Total number of downloads
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9. What’s next!
Dataset
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DOI
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10. Want to learn more!
• www.altmetricsconference.com/
• 7-8 October 2015
• Keynote talk by Simon Singh
• Travel grants available, apply by 31 July
• Supported by:
This presentation is available for download:
www.impactstory.org/timonoefelein
Thank You!
For Questions:
Timon Oefelein: timon.oefelein@springer.com
Account Development Manager, NW Europe
Martijn Roelandse: martijn.roelandse@springer.com
Publishing Innovation Manager
Altmetric.com: support@altmetric.com