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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
Altmetrics
Articlel-mevel
Metrics
2. Usage metrics
SpringerLink.com Springer.com
2. Citation metrics
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
• 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)
Mentions
4. SpringerLink – new altmetrics dashboard
Citations
4. Special citations page on Springer.com
Social media authors
or unique sources
4. Linkout is to article’s entry in Altmetric.com
• 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!
8. Correlation analysis
9. What’s next!
00001100010010101010
10101001010101100101
01000101010010101010
10101010101010101010
01100101010101010101
01010111111001010101
01010101000011111111
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: martijn.roelandse@springer.com
Publishing Innovation Manager
Timon Oefelein: timon.oefelein@springer.com
Account Development Manager, NW Europe
Altmetric.com: support@altmetric.com

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Free UKSG webinar - Altmetrics for Librarians: a publisher dashboard, a university use case

  • 1. By Timon Oefelein Springer, Account Development Manager, North Western Europe Altmetrics for Librarians: a publisher dashboard, a university use case
  • 2. 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
  • 3. • 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 Altmetrics Articlel-mevel Metrics
  • 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!
  • 11. 4. Example of mentions in social media
  • 12. 4. Example of Mendeley readers and demographics Click here to go to Mendeley for number of readers per chapter
  • 13. • 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)
  • 14. Mentions 4. SpringerLink – new altmetrics dashboard Citations
  • 15. 4. Special citations page on Springer.com
  • 16. Social media authors or unique sources 4. Linkout is to article’s entry in Altmetric.com
  • 17. • 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
  • 18. • 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
  • 19. • 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
  • 20. 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!
  • 23. 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:
  • 24. Thank You! For Questions: Martijn Roelandse: martijn.roelandse@springer.com Publishing Innovation Manager Timon Oefelein: timon.oefelein@springer.com Account Development Manager, NW Europe Altmetric.com: support@altmetric.com

Editor's Notes

  1. Here is the right hand panel for the book’s title The different colored tabs represent the different data categories. In this example, I have clicked on the blue tab called “Mentions” which represents mentions or postings in social media In our example the book was mentioned 132 times in five different social media outlets The different outlets are listed next to the pie or altmetric badge. So, this book was mentioned in: - 4 blog posts - 123 tweets - 3 Facebook posts - 1 Wikipedia page - 1 Google+ post 3. Below the badge there is a graph which maps out all the mentions over time by day and month. 3. Individual mentions are represented by little dots. 4. This gives you an insight into the speed and volume social media attention of this book 5. Finally, if you click on the large blue rectangle entitled “See all mentions”, a new window opens up which lists all the individual postings for each respective social media source 6. You can see and explore each individual mention.
  2. I now want to move on to the dashboard for our journals which is shown in this slide. 1. Unlike for our books, our journal dashboard is still not yet fully developed and currently only shows limited data. 2. However, our ultimate goal is to display a similar scope of data for our journals as we currently do for books. 3. So, here is a journal article on SpringerLink. 4. On the right hand side you see two circles. 5. The first one displays the number of citations for that article. 6. The second circle displays the total number of mentions for the article. 7. If you click on the first circle, a link out opens a special citation landing page that looks like this.