1. THE DATA 1

2. Selection Collection Indexing Organisation 2

3. SELECTION: WHERE IS THE RELEVANT CONTENT? 40% of the journals represent: 80% of the publications 92% of cited papers 4% of the journals represent: 30% of the publications 51% of cited papers Approx. 3,000 journals evaluated annually in Web of Science –10-12% accepted 3

4. 4 Journal Publishing Standards Editorial Content International Focus Citation Analysis Does this journal target an international audience or specifically a regional audience? Is international representation among authors and board members at an appropriate level for such a journal? Total citations Recent citation activity Author and editorial board members’ citations in the literature Integration of the journal into the literature over time Peer review Ethical publishing practices Meets technical requirements (XML / PDF) Timeliness of publication International editorial conventions Has a scholarly audience searched for or requested this content? How does this journal compare with covered journals of similar scope? Is this subject already well covered? Will this journal enrich WoS with novel content? English-language bibliographic information SELECTION: CHOOSING CRITERIA

5.  Consistent indexing for complete analysis  Cover-to-cover indexing  All author names  All author addresses (afiliations)  Subject Area Classification  Open Access  Funding Agencies & Grant Numbers (Funding text) INDEXING CONSISTENCY IS THE KEY TO VALIDITY 5

6. Cover to Cover Indexing is essential for producing reliable Journal Ranking Indicators 6 “How can you provide meaningful Journal metrics (Impact Factor, SNIP, etc.) if you do not index the entire journal?” SCIENCE2005200620072008200920102011201220132014TOTAL Web of Science Core Collection 2698263225512472251624392750276026082602 26,028 Nearest commercial database 2535237622352286231522682107219120951999 22,407

7. Different Levels of Metadata Quality All Author Names, All Addresses NO AGREGATION OF THIRD PARTY CONTENT, ALL MATERIALS ARE INDEXED DIRECTLY FROM THE SOURCE (Publishers) This also strengthens the consistency of our metadata capture, Web of Science does not inherit the weaknesses (e.g. missing affiliations in Medline) or third party databases Medline/Pubmed record: One Address 7

8. Web of Science Core Collection and other contents: Different levels metadata quality 8 Web of Science Core Collection record: All Addresses 8

9. Different Levels of Metadata Quality Enhanced Organizations Names We communicate rules to institutions They validate/modify/ complete the rules They validate/modify/ complete the rules Rules are updated and applied to more than a century of publication activity Unification rules sets are built in complete transparency, using internal and external expertise 9

10. Different Levels of Metadata Quality All Author Names, All Addresses WITHOUT CONSISTENCY, NO MEANINGFUL DATA ANALYSIS IS POSSIBLE AUTHOR-AFFILIATION LINK SINCE 2008 10

11. Different Levels of Metadata Quality Funding Acknowledgements since 2008 CURRENTLY WORKING TOWARDS UNIFICATION OF FUNDERS 700 FUNDERS UNIFIED IN INCITES (European Commission, NASA, HEFCE, NERC, RCUK, EPSRC, Wellcome Trust, Leverhulme Trust WHO, European Cooperation in Science and Technology (COST), Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT), Deutsche Forschungsgemeinschaft, Research Council of Norway, Dutch Cancer Society, etc) CURRENTLY WORKING TOWARDS UNIFICATION OF FUNDERS 700 FUNDERS UNIFIED IN INCITES (European Commission, NASA, HEFCE, NERC, RCUK, EPSRC, Wellcome Trust, Leverhulme Trust WHO, European Cooperation in Science and Technology (COST), Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT), Deutsche Forschungsgemeinschaft, Research Council of Norway, Dutch Cancer Society, etc) 11

12. Different Levels of Metadata Quality Funding Acknowledgements since 2008 12 Sources of funding for Imperial College London: how do funded projects perform? Which are the main funding bodies in the area of Endocrinology & Metabolism?

13. Different Levels of Metadata Quality Open Access Journals 13% OF TITLES IN WOS CORE COLLECTION ARE OPEN ACCESS 13

14. ORGANISATION/SEGMENTATION OF DATA OPEN ACCESS PUBLICATIONS 14 Open Access publications frequencies In which OA journals Edinburgh University authors are being cited the most? Which OA journals Newcastle University authors are citing the most?

15. ORGANISATION/SEGMENTATION OF DATA RESEARCH AREAS 15 Decomposition by Research Areas at journal or paper level

16. 16 Publication Metadata

17. Citation Indicators 17

18. Context- Total Citations to ESI Fields (last 10 years) Citation Limitation? Number of citations can vary significantly across different disciplines and time periods Citations cannot be compared without some form of normalization to allow for the differences in fields and time 18

19. Context-Differences in Citation Thresholds For an article/review published in 2006.. 19

20. CITATION PATHWAYS ARE SHORTCUTS TO DISCOVERY. WEB OF SCIENCE IS AN EFFICIENCY TOOL, LEADING RESEARCHERS TO UNCOVER RELATED INFORMATION IN UNIQUE WAYS Applications: How can I use the Citation Network for resource discovery? 20

21. Case study: Zika Virus as a thread 21

22. The most cited paper on Zika Virus today: Access Full text using your library resources and Journal subscriptions or automatically look the article up in Google Scholar Be alerted any time this article gets another citation. Citation alerts can be created on any paper you look up in the Web of Science. Alerts can be received via email, or via an RSS feed The Web of Science as a discovery solution The power of citation navigation; “Zika Virus” 22

23. Usage Count Metric:  Last 180-Days  Since 2013 Click to view full-text Full record or Results Summary List Export from Web of Science Bibliographic Tool (e.g. Endnote) File Format Save to Marked List Discover research that is gaining interest among users on the Web of Science platform via the Usage Count metric 23

24. Find the earliest Web of Science record on the topic The Web of Science as a discovery solution The power of citation navigation; “Zika Virus” 24

25. 16000 + Citations! Use the references cited by this 1952 paper, to uncover more discoveries The Web of Science as a discovery solution The power of citation navigation; “Zika Virus” 25

26. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. Strong recent impact increase, directly related to the Zika Virus resurgence The Web of Science as a discovery solution The power of citation navigation; “Zika Virus” 26

27. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. So where are these 16,058 citations coming from? The web of science core collection and its archives are truly multidisciplinary 27

28. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. So where are these 16,058 citations coming from? Category: International relations Category: Nanosciences Category: Nutrition 28

29. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. So where are these 16,058 citations coming from? Funding sources, directly extracted from author’s acknowledgments since 2008 29

30. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. So where are these 16,058 citations coming from? Some of the UK organizations who cited this 1938 piece of research 30

31. This 1938 paper, related to Zika Virus, has been consistently cited for 80 years. The Web of Science Core collection has captured all these citations. So where are these 16,058 citations coming from? Some of the UK researchers who cited this 1938 piece of research 31

32. THANK YOU! Q&A 32