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Altmetrics : from hype to opportunity Seven use cases for altmetrics

Altmetrics : from hype to opportunity Seven use cases for altmetrics. Mike Taylor Research Specialist http://orcid.org/0000-0002-8534-5985 mi.taylor@elsevier.com. Elsevier Labs is a Research and Development group in Elsevier IT Part of Enterprise Architecture

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Altmetrics : from hype to opportunity Seven use cases for altmetrics

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  1. Altmetrics: from hype to opportunitySeven use cases for altmetrics Mike Taylor Research Specialist http://orcid.org/0000-0002-8534-5985 mi.taylor@elsevier.com

  2. Elsevier Labs is a Research and Development group in Elsevier IT • Part of Enterprise Architecture • Linked / semantic data, tech / acquisition evaluations, ORCID, cloud – from Labs to business • Text mining, natural language processing, profiling, altmetrics– in various stages of transition

  3. Seven reasons to use altmetrics • Some in or near production • Some need academic research • Some need business research • Some need environmental development 1…

  4. #1 Because They’re Interesting Researchers – like other human beings – are social, engaged and interested. Enabling discovery of networks and networks is interesting. Status - Live

  5. #1 Because They’re Interesting Altmetric tools enable discovery of previously-hidden engagement and usage.

  6. 健康医療分野における三つの都市伝説：ほうれん草には鉄が多い・電磁波は体に悪い・ワクチンで自閉症になる 根拠の無さを説明した後にどう考えが変わったかのアンケート結果と考察も（英文記事） Tweet about an article I wrote

  7. Blogs, news items, reviews, social activity, scholarly activity 2…

  8. #2 Discovering hidden impact Some articles have influence that is not revealed through citation. Altmetrics provides alternative views of usage. Status - Being used

  9. Substantial evidence that scholars have a high degree of engagement in science / social issues: • Funding • Policy • Gender • Open access • Cross-over interest revealed in social activity, scholarly activity in top 0.5% articles, even in the absence of “mass media” interest • Data provided by Altmetric.com

  10. #3 Predicting citation Being able to predict highly cited papers is of great use to scholars, publishers, institutions. Altmetric data can play a role in prediction. Status – academic research 3…

  11. There is evidence that some highly cited papers can be predicted using a mix of data • Twitter is not a good source of this data • Mendeley / Citeulike are likely good sources • Identifying influential papers makes them influential • Can this work for non-English language papers? • Can this work for non-DOI, non-IF articles and papers? • => Sigint – signal intelligence might open up developing world research to wider attention

  12. Data provided by Altmetric.com 4…

  13. #4 Real-time information Knowing what other people are reading and discussing reduces the amount of time needed to search the literature. Altmetrics enables this discovery Status – business research

  14. An obvious use-case – to effectively crowd-source literature searches • But a very small % of papers receives a very % of attention • Altmetric data needs to be associated other data, eg, network analysis and similarity 5…

  15. #5 Re-use There is increasing effort into re-use of data sets (and other research outputs, eg, code) As well as representing usage, altmetrics data can include re-usage data Status – requires investigation and environmental change

  16. Data from data repositories – Data Dryad, and others • Code from github • Graphics (and data, etc) on Figshare • Downside: data repository is fragmented, 600+ repositories registered at databib.org • Upside: Datacite, ODIN, ORCID, DOI, Draft Declaration of Data Citation Principles 6…

  17. #6 Performance comparison Publishers, institutions and platforms differ in their abilities to promote use, re-use and sharing. Altmetric data can allow (cautious) comparative, like-for-like, benchmarking Status – community investigation

  18. If altmetrics measures something that predicts citation, social reach, re-usage, etc, then the promotion of efficient strategies that enable optimum activity is of interest to all of us • Private data reveals one UK university doubling its data within a year by one hire • Start-ups: minimanuscript.com, www.growkudos.com 7…

  19. #7 Social reach The importance understanding social impact of research is increasing. Altmetric data might offer us the ability to compute the social reach of research, a component of social impact. Status - uncertain

  20. Encouraging researchers to use, re-use material is one issue • Encouraging the lay community to access, consume, is another • Detecting usage amongst the legislative, regulatory communities is another

  21. Detecting usage in the scholarly community is one issue • Detecting usage in the lay community is another • Detecting usage amongst the legislative, regulatory communities is very difficult

  22. Social impact can be very visible, but it’s usually very stealthy. • Serious papers can (and do) get 1000s of tweets • The headline papers – the top 1%, 2% - are misleading

  23. Conclusion • We serve communities of humans: we shouldn’t rule out human interest as trivial. • As data, investment and analysis grows, altmetrics will become a vital source of data (and will probably not be known as altmetrics)

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