Focus on Personalized Medicine

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

What is personalized medicine? 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 “ A form of medicine that uses information about a person’s genes, proteins, and environment to prevent, diagnose, and treat disease.” - National Cancer Institute

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
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

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

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?

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

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

Personalized Medicine data in Web of Knowledge MEDLINE records

View same article in BIOSIS for specific biological information

Analyze times cited information in Web of Science

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

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

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

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:
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

… 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.

BIOSIS Citation Index: Variety of research materials on personalized medicine

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

BIOSIS Citation Index- citation map visualization

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

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)

Research Analytics: tools like InCites provide comprehensive citation metrics and analytics 1.31
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.

Types of citation metrics and what they measure Can be applied to an institution, a researcher, a research group, etc. Productivity # papers Total influence # citations H-index Efficiency Avg. citation rate Percent of papers cited Relative Impact/ Benchmarking Journal actual/expected citation rate Category actual/ expected citation rate Percentile in category and mean percentile % papers in top 10% of their field % papers in top 1% of their field Aggregated Performance Indicator Specialization Disciplinarity index Interdisciplinarity index

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 papers citations

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.
Citation metrics Times Cited: 2,784 Journal performance ratio: 16.06 (cited over 16 times the expected rate for the journal) Category performance ratio: 24.96 (cited almost 25 times the expected rate for the field of oncology) Percentile: Top 0.005% of oncology papers from 2002

Highly Cited Institutions: Personalized medicine Source: Web of Science and InCites # citations received Mayo Clinic & Mayo Foundation 10,350 Harvard University 10,251 National Cancer Institute 7,928 University of Washington 7,236 University of California San Francisco 6,917

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

Changing collaboration partners 2000-2004 2005-2009 Coauthored Papers Country Country 210 Canada USA 179 England USA 160 Germany USA 122 Italy USA 112 Netherlands USA 77 Germany Netherlands 77 Peoples R China USA 74 England Germany 74 Germany Switzerland 72 France USA 69 Australia USA 68 Japan USA 64 Spain USA Coauthored Papers Country Country 210 Canada USA 179 England USA 160 Germany USA 122 Italy USA 112 Netherlands USA 77 Germany Netherlands 77 Peoples R China USA 74 England Germany 74 Germany Switzerland 72 France USA 69 Australia USA 68 Japan USA 64 Spain USA Coauthored Papers Country Country 83 Canada USA 74 Germany USA 73 England USA 47 Italy USA 34 England Germany 34 France USA 30 France Germany 29 Switzerland USA 28 Netherlands USA 25 England France 24 Australia USA 24 England Italy 24 Japan USA Coauthored Papers Country Country 83 Canada USA 74 Germany USA 73 England USA 47 Italy USA 34 England Germany 34 France USA 30 France Germany 29 Switzerland USA 28 Netherlands USA 25 England France 24 Australia USA 24 England Italy 24 Japan USA

Pharmaceutical companies publishing in personalized medicine

Drill down to Merck papers What topics is Merck researching? Which are highly cited? With whom is Merck collaborating? # citations keyword 264 SURROGATE END-POINTS 231 BREAST-CANCER 187 ASSOCIATION 174 CARDIOVASCULAR-DISEASE 174 CORONARY-HEART-DISEASE 173 ALZHEIMERS-DISEASE 173 B-CELL LYMPHOMA 173 C-REACTIVE PROTEIN 173 IN-VIVO 173 MILD COGNITIVE IMPAIRMENT 173 POSITRON-EMISSION-TOMOGRAPHY 168 GENE-EXPRESSION PROFILES

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

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)
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)
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 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)
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

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.
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

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

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. Relative Impact/ Bench-marking Journal actual/expected 1.49 Category actual/expected 2.48 Mean percentile 27.34 % papers in top 10% of their field 37% % papers in top 1% of their field 8% Special-ization Disciplinarity index 0.22 Productivity # papers 112 Total influence # citations 4,086 H-index 33 Efficiency Avg. citation rate 36.48 Percent of papers cited 81.25

Websites for further information: BIOSIS Citation Index InCites Research Analytics Bibliometrics white papers Using Bibliometrics: A Guide to Evaluating Research Performance Using bibliometrics in evaluating research

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Focus on Personalized Medicine

by Thomson Reuters on Jun 29, 2010

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