Personalized Medicine: A topical analysis using Thomson Reuters data and analytics

1. Personalized Medicine: A topical analysis using Thomson Reuters data and analytics MLA annual meeting May, 2010 Ann Kushmerick, Manager, Research Evaluation and Bibliometric Data

2. What is personalized medicine? “A form of medicine that uses information about a person’s genes, proteins, and environment to prevent, diagnose, and treat disease.” -National Cancer Institute Information about a patient's protein, gene or metabolite profile could be used to tailor medical care Individual’s information is being used: –to stratify disease status –select from among different medications –tailor dosages –provide a specific therapy –initiate a preventative measure

3. UPDATE: Personalized Medicine Poised to Become Part of US Healthcare Reform Plan March 24, 2010 The healthcare reform bill includes a section on comparative effectiveness research that creates the Patient-Centered Outcomes Research Institute. Seen as a victory for personalized medicine, the institute will study the utility of medical products in "various subpopulations," including groups differentiated by genetic and molecular subtypes. - Genomeweb.com U.S. to Compare Medical Treatments February 15, 2009 The $787 billion economic stimulus bill approved by Congress will, for the first time, provide substantial amounts of money for the federal government to compare the effectiveness of different treatments for the same illness. - New York Times

4. How did we define personalized medicine for this presentation? Examples of keywords used: • molecular profiling • pharmacogenomic • pharmacogenetic • biomarker SAME gene • treatment individualization • personalized SAME therapy individualized health prospective care molecular diagnostic test* pharmacogenetic test* protein expression profil* therapist/physician SAME tailored

5. What questions can Thomson Reuters data answer about personalized medicine? • Who are the highly cited institutions and researchers in this field? • What are the publication and citation trends? • Who collaborates in this area? • What countries have the most impact in personalized medicine? • What are the key journal articles/patents/book chapters/conference proceedings on this topic?

6. Thomson Reuters: Solutions for the entire research cycle • Web of Science • BIOSIS Previews • BIOSIS Citation Index • Zoological Record • Derwent Innovations Index • INSPEC • CAB Abstracts and Global Health • MEDLINE Search & Discover Quality • Researcher ID • Thomson Pharma • Thomson Innovation Write & Publish Manage Research Output Research Cycle • EndNote • EndNote Web • Scholar One Evaluate outcomes • InCites • Journal Citation Reports • Custom data • Web Services

7. Thomson Reuters Web of Knowledge: a comprehensive, biomedical discovery tool Web of Science - 10,000 Journals, Natural and Social Sciences Coverage back to 1900 - 12,000 Conference Proceedings Annually BIOSIS Previews and BIOSIS Citation Index - 5,250 Journals - Thousands of Meetings, Books, Patents Annually MEDLINE 5,180 Journals

8. Personalized Medicine data in Web of Knowledge MEDLINE records

9. View same article in BIOSIS for specific biological information

10. Analyze times cited information in Web of Science

11. Use Web of Knowledge analytical tools like citation map Institutions that cited this paper

12. Who is funding personalized medicine research? Number of papers by funding body acknowledged: Web of Science

13. BIOSIS Citation Index • A citation resource providing cited references for BIOSIS Previews content: • Cited references for BIOSIS unique items (beginning with 2006 production year data) • Cited references for BIOSIS items that overlap with items in the Web of Science (for all years, 1900 - forward) • All citation data is contained within the BIOSIS database • Unique BIOSIS times-cited count • Available only on the Web of Knowledge platform

14. BIOSIS Citation Index Major Concepts Concept Code(s) Taxonomic Data Disease Data Chemical Data Gene Name Data Sequence Data Geographic Data Geologic Time Data Methods and Equipment Data Parts & Structure Data Miscellaneous Descriptors • BIOSIS database has been known for decades for extensive coverage of biomedicine: • Journals and Serials-over 5,000 titles • Meetings, Conference • Reviews of books, software • Books, book chapters • U.S. patents • And unique, in-depth indexing:

15. …Combined with the power of citation indexing in BIOSIS Citation Index As with Web of Science, BIOSIS Citation Index includes a true cited reference index revealing exactly what has been cited, and allowing one to browse and select the exact cited items on which to search.

16. BIOSIS Citation Index: Variety of research materials on personalized medicine

17. Explore citation relationships in BIOSIS Citation Index This book chapter was cited 31 times across Web of Knowledge This book chapter was cited 24 times within BIOSIS Citation Index

18. BIOSIS Citation Index- citation map visualization

19. Use citation report visualization Personalized medicine: concept code= psychiatry-addiction alcohol, drugs, smoking

20. Precise searching for relevant biomedical research • Chemical=gramicidin S • Major concept=(Pharmaceuticals) • Concept Code=(Blood - Blood and lymph studies) • Taxonomic data=(Hominidae) • Literature Type=(Meeting Paper)

21. Research Analytics: tools like InCites provide comprehensive citation metrics and analytics • InCites is a web-based research evaluation tool designed to track trends on the field, country, and institution level, and to enable detailed bibliometric analysis of the set of papers important to you. 1.31

22. Types of citation metrics and what they measure Can be applied to an institution, a researcher, a research group, etc.

23. Personalized medicine: trend in publications and citations 70-fold increase in papers using this terminology over the 30 year period Citations increased from 723 in 1990 to 57,127 in 2009 citations papers

24. Research Analytics: metrics from InCites Most highly-cited paper in personalized medicine: • vant Veer LJ, Dai HY, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature (415), 6871. 530-536. Jan 31, 2002.

25. Highly Cited Institutions: Personalized medicine Source: Web of Science and InCites

26. Top 10 countries publishing in personalized medicine Source: Web of Science and InCites

27. Changing collaboration partners 2000-2004 2005-2009

28. Pharmaceutical companies publishing in personalized medicine

29. Drill down to Merck papers What topics is Merck researching? Which are highly cited? With whom is Merck collaborating?

30. Most highly cited author in this topical dataset Richard M. Weinshilboum, M.D. Mayo Clinic http://mayoresearch.mayo.edu/mayo/research/staff/weinshilboum_rm.cfm http://mayoresearch.mayo.edu/mayo/research/staff/weinshilboum_rm.cfm

31. Dr. Weinshilboum’s most cited paper Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) Times cited: 573 Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) • Journal Expected citations: 61.78 • Average citations specific to journal, year of article, and document type. • Baseline for journal performance. • Weinshilboum’s ratio of actual cites to expected: 9.27 (573/61.78)

32. Dr. Weinshilboum’s most cited paper Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) Times cited: 573 Category : pharmacology and pharmacy Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) • Category Expected citations: 23.31 • Average citations specific to category, year of article, and document type. • Baseline for category performance. • Weinshilboum’s ratio of actual cites to expected: 23.04 (537/23.31)

33. Dr. Weinshilboum’s most cited paper Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) Times cited: 573 Category : pharmacology and pharmacy Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) • Percentile: 0.028% • Percentile position specific to field and year. The closer to zero, the more highly cited. • Weinshilboum’s paper falls into the top 0.028% of all pharmacology/pharmacy papers from 1996.

34. Dr. Weinshilboum’s most cited paper Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. Vol 6. 1996. (Article) Times cited: 573

35. Weinshilboum, RM-summary metrics Weinshilboum’s papers perform 49% above their journals’ normal citation rates and 148% above their categories’ normal citation rates. His papers rank in the top 27% of their fields, according to citation count.

36. Websites for further information:BIOSIS Citation IndexInCitesResearch AnalyticsBibliometrics white papersUsing Bibliometrics: A Guide to Evaluating Research PerformanceUsing bibliometrics in evaluating research