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Research Metrics – The InCites Approach NCURA March 14, 2013

Research Metrics – The InCites Approach NCURA March 14, 2013. Martin Kirk President of CAURA Director of Research Services, UBC, Canada. Why Research Metrics? Reasonable proxy for research impact? Internal performance monitoring at PI, Dept , Faculty, Institution level

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Research Metrics – The InCites Approach NCURA March 14, 2013

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  1. Research Metrics – The InCites ApproachNCURA March 14, 2013 Martin Kirk President of CAURA Director of Research Services, UBC, Canada

  2. Why Research Metrics? • Reasonable proxy for research impact? • Internal performance monitoring at PI, Dept, Faculty, Institution level • Outward facing demonstration of impact • In 2010 UBC along with U15 examined both InCites and SciVal • In 2011 UBC and 6 other U15 subscribed to InCites.

  3. Executive Summary – UBC 1978 - 2013 This dataset contains 135,052 source articles from 165,206 authors and contains 1,578,655 articles that have cited the 135,052 source articles in the dataset.

  4. All institutions shown here are above the world average. UBC is 10th out of 12 top Universities in North America.

  5. AUTHOR RANKING

  6. Summary Metrics • Dashboard offers a quick snapshot of both productivity and influence indicators including: • Times Cited • # WOS Docs • h-index • Median cites • % of docs cited

  7. Author Ranking – Biochemistry & Molecular Biology

  8. Collaborating Institutions – Biochemistry & Molecular Biology

  9. Collaborating Countries – Biochemistry & Molecular Biology

  10. Subject: Biochemistry & Molecular Biology

  11. Immunology – Impact Relative to Subject Area

  12. SUMMARY METRICS – Julio Montaner 1996 – 2013

  13. Conclusions Pros • InCites provides a flexible way to track and report citation performance • Useful for comparisons between PIs / international peers • Useful performance and strategic planning tool • Fairly easy to use Cons • Need to cleanse data • Cannot compare depts. to depts. or Faculties to Faculties • No strategic research area/clusters collectives e.g. nanotechnology, green energy, genomics • Not the best visualization but getting better Both tools have pros/cons…In ideal world we would have both

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