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Altmetrics – an alternative to traditional research indicators

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Basic presentation of altmetrics, introducing some central concepts, seen in relation to traditional bibliometrics. Discusses the potential, but also the theoretical problems, of altmetrics.

Veröffentlicht in: Bildung, Technologie
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Altmetrics – an alternative to traditional research indicators

  1. 1. Jens Peter Andersen MLISc, PhD Aalborg University Hospital
  2. 2.   Citations Journal impact
  3. 3. Research Journals Internet • Citations • ”Impact” • Twitter • Facebook Usage • Mendeley • CiteULike Impact News media • Newspaper • Television
  4. 4.  Alternative metrics ◦ Not JUST citations   Usage (downloads, readership) Dissemination (Tweets, shares, likes, reddit, blogs, youtube, newspaper etc.)
  5. 5.  Communication between researchers ◦ Research publications ◦ Citations
  6. 6.  From researcher to: ◦ ◦ ◦ ◦ ◦ ◦ Researcher Society Media Patients Politicians Etc.
  7. 7.  ”Societal impact” – broader, more diffuse than ”scholarly impact”  Distinction between impacts is central to altmetrics
  8. 8.      Altmetric.com (free librarian account) ImpactStory (free user access, uses Orcid) F1000 (Expert recommendations) Mendeley (Readership) PLoS (demo of altmetric.com, ALM)
  9. 9.    How do you count downloads? Is a tweet always a good thing? How sure are we of e.g. ”members of the public”?
  10. 10.  Different types of tweets? ◦ Different degrees of impact?   What does a download mean? What does it mean to be a ”reader”?
  11. 11.  References can (probably) be aggregated to citations, especially for large units (macro-analysis)  Is this transferable to altmetrics?
  12. 12.  Large amounts of data available ◦ Potential for macroscopic analyses  Usage of altmetrics is primarily local ◦ Micro- or mesoscopic analyses
  13. 13.  Aggregates of altmetrics data ◦ University analyses etc. ◦ Potential for indicators
  14. 14.  Paul Wouters distinguishes between: ◦ Theories of citations, references, indicators  Is there an equivalent approach to usage and social data? ◦ How can we move from individual tweets to theories of their meaning? Especially the meaning of multiple tweets. ◦ How about readership and downloads? ◦ What type of meaningful indicators could be constructed from this?

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