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1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
1 taylor altmetrics from a publishers pov
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1 taylor altmetrics from a publishers pov

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  • 1. Altmetrics and the publisher I’m Mike Taylor, I’m a researchspecialist and I work for Elsevier Labs http://labs.elsevier.com
  • 2. What is Altmetrics?• Article-level metrics• It is the collection, the counting and interpretation of non-formal citation of scholarly documents• And what does non-formal citation mean?• It’s when you save a work in Mendeley or Zotero or Figshare or you bookmark it in Del.icio.us or share it in Facebook or Twitter• Not “talking about work” but “referencing it” Next up – obligatory slide about Elsevier
  • 3. Obligatory slide about what Elsevier is doing• Quite a lot!• Altmetric.com tool has been on Scopus as a mandatory tool for nearly a year• Lots of articles are appearing on Elsevier websites (www.elsevierconnect.com, www.researchtrends.com)• The publishing units have plans and projects• And there’s my work Next up – what altmetrics says about altmetrics
  • 4. What do people say about Altmetrics?• “The speed of altmetrics presents the opportunity to create real-time recommendation and collaborative filtering systems”• “they’re great for measuring impact in [the] diverse scholarly ecosystem”• “Altmetrics expand our view of what impact looks like”• All from altmetrics.org/manifesto Next up – what curmudgeonly professors say about altmetrics
  • 5. What do people say about Altmetrics?• Professor David Calquhoun of UCL: “Altmetrics are cheap gimmickry that encourage gaming the system, ie dishonesty. I do wish that kids with computers would get off the backs of real scientists.” Next up – Altmetric.com
  • 6. What does altmetric.com look like?• Examples of ImpactStory and Altmetric.com Next up – Impact Story
  • 7. What does ImpactStory.org look like?• Examples of Im• Also Plum Analytics and various other tools• http://altmetrics.org/tools/ Next up – why you don’t have to do anything!
  • 8. What you have to do!• Great news!• You don’t have to do anything!• Other people will do it for you, whether you like it or not!• But getting altmetric.com or ImpactStory on your website is easy, so technical integration is a doddle Next up – how ANYONE can view altmetrics!
  • 9. American Journal of Hypertension• 10.1093/ajh/hps090• 10.1093/ajh/hps088 Journal of the American Society of• 10.1093/ajh/hps097 Hypertension• 10.1093/ajh/hps089• 10.1093/ajh/hpt008• 10.1093/ajh/hps100 10.1016/S1933-1711(13)00022-3• 10.1093/ajh/hpt010 10.1016/j.jash.2013.01.004• 10.1093/ajh/hpt028 10.1016/j.jash.2013.01.003• 10.1093/ajh/hpt041• 10.1093/ajh/hpt042 10.1016/j.jash.2013.01.006, 10.1038/495425a• 10.1093/ajh/hps098 10.1016/j.jash.2013.01.001•• 10.1093/ajh/hps065 10.1093/ajh/hps119 10.1016/j.jash.2012.12.008 10.1038/495426a 10.1016/j.jash.2012.12.006•• 10.1093/ajh/hpt009 10.1093/ajh/hps072 10.1016/j.jash.2012.12.003 10.1038/495430a• 10.1093/ajh/hps092• 10.1093/ajh/hps099 10.1016/j.jash.2013.01.002 10.1038/495433a• 10.1093/ajh/hps095 10.1016/j.jash.2012.12.007• 10.1093/ajh/hps096 10.1016/S1933-1711(13)00023-5 10.1016/j.jash.2013.01.007 Next up – why does this matter?
  • 10. Why you should do more• What difference will Open Access use to your non-specialist usage?• Will funders require more social impact statements?• Is Open Access more than just “sticking a PDF up on a website”? Next up – the anatomy of a story
  • 11. The anatomy of a story• “The £5 spit test for cancer”• Front page news• Wide-spread coverage• Nature moved mountains to make it accessible• Massive social impact potential• A really big deal
  • 12. Altmetric.com
  • 13. ImpactStoryhttp://www.impactstory.org/collection/dnwpb3
  • 14. Disappointment? The power of PR?900800700600500400300200100 Saved (eg, Mendeley, Citeulike, Delicious) 0 Discussed (ie, Twitter via Topsy Twitter API)
  • 15. Seeing (or not) the bigger picture• 300+ comments on The Guardian• Dozens of news stories• 100 comments on the Daily Mail• Social Media buzz Next up – “Once upon a time…”
  • 16. Current state of altmetrics is v0.1• Link-based• Counting• Limited interpretation, because numbers aren’t much• Founded in 2010• Didn’t make much impact until 2012 Next up – kicking up a gear
  • 17. V0.2, 0.5 are much more interesting• Crawling• Similiarity-based• Temporal analysis• Semantic analysis Next up - Complex stuff with known solutions
  • 18. And this is an easy thing to do• Finding ‘similar stories’ with a ‘similar fingerprint’ in a ‘similar timescale’ is a known problem• Dozens of start-ups do this• Links are easy and cheap, and are a great place to start Next up – but these are just meaningless numbers… right?
  • 19. But even so… it’s just a bag of numbers• How do different professions behave?• What’s the fingerprint of non-scholarly behaviour?• How is it changing over time?• When will the numbers make real-time recommendations a possibility?• Is it easier to game than JIF?
  • 20. What work needs to be done?• Semantics• Temporal analysis• Surveys of real-life behaviour Next up – the end
  • 21. The end: a history and future of scholarly impact• Is only the beginning• After citation • After downloads and page views • After scholarly interest • After mass media • After non-scholarly interest • Tracking linguistic terms, semantic linking, memes analysis: semantometrics

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