Your SlideShare is downloading. ×
Altmetrics
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Altmetrics

379
views

Published on

Presented at the "Altmetrics - Present and Future" Panel at the ASIST Annual Meeting in Montreal on November 5, 2013

Presented at the "Altmetrics - Present and Future" Panel at the ASIST Annual Meeting in Montreal on November 5, 2013

Published in: Technology

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
379
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Altmetrics Judit Bar-Ilan Department of Information Science Bar-Ilan University, Israel
  • 2. Scientific revolution in scientometrics? • Taxonomic change: not only impact on science, but also on society (Bornmann, 2013) • “altmetrics will play a significant role in measuring societal impact”(Bornmann, 2013 in the SIGMETRICS list) • Scientific revolution or not, bibliometricians start to take altmetrics into account – Altmetric indicators can measure (at least partially) societal impact
  • 3. Altmetrics – recent achievements • Altmetric tools – ImpactStory, Altmetric, Plum Analytics • Publishers add altmetrics to their site – PLoS ALM, BMJ • Post-publication peer-review – F1000, PubMed, ResearchBlogging • Studies showing the value of Mendeley readership counts – Significant, medium strength correlations with citation counts – Seems to be one of the most promising altmetric indicators
  • 4. Achievements + Interest -> Responsibility • • • • What to measure? What is the meaning of the measurements? How to measure? What is the quality of the underlying data?
  • 5. What & how to measure? • Usage – Multiple copies • Popularity – Tweets are ephemeral – Shares • Discussions – Sentiments – Different venues • Not only scholarly peer-reviewed publications – Books, reports, datasets, applications, software, presentations, videos, ….
  • 6. What is the meaning of these measures? • Why do users download an article? How are “views” related to “downloads”? • Why do they share a link? • Why do they make use of a dataset? • Who are the users? • … • Note – Quite easy to “game” the measures – No gatekeepers – The “wisdom of crowds”
  • 7. Data sources • Twitter – “Big data” – Feeds are not comprehensive – Difficult to monitor – Even more problematic to reach “historical data” – Tweets archived at the Library of Congress
  • 8. Reference managers • Are they here to stay? – Connotea, 2collab – Most popular today: • Mendeley, CiteULike • Zotero – data are not aggregated • Is altmetric analysis high on their list of priorites? • Data quality – Entered by users • Accuracy, multiple records – Author names
  • 9. There is a lot to be done ! Good luck!!!