Visualizing the Topical Structure of the Medical Sciences: A Self-Organizing Map Approach

PLoS ONE

Volumn 8, Issue 3, 2013, Pages

  Skupin, André ^a   Biberstine, Joseph R ^b   Börner, Katy ^b  

^a SAN DIEGO STATE UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA ANALYSIS; DOCUMENT EXAMINATION; FEMALE; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INFORMATION DISSEMINATION; MALE; MEDICAL DOCUMENTATION; MEDICAL LITERATURE; MEDICAL SUBJECT HEADINGS; SELF ORGANIZING MAP; VALIDATION PROCESS;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL RESEARCH; MEDICAL INFORMATICS; MODELS, THEORETICAL; PUBLICATIONS;

EID: 84874852081     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0058779     Document Type: Article

References (28)

1. Jinha AE, (2010) Article 50 million: an estimate of the number of scholarly articles in existence. Learned Publishing 23: 258-263.
2. Börner K, (2010) Atlas of science: visualizing what we know. Cambridge, Mass. MIT Press.
3. Börner K, Chen C, Boyack KW (2002) Visualizing knowledge domains. In: Cronin B, editor. Annual Review of Information Science and Technology. pp. 179-255.
4. Klavans R, Boyack KW, (2009) Toward a Consensus Map of Science. Journal of the American Society for Information Science and Technology 60: 455-476.
5. Börner K, (2011) Plug-and-Play Macroscopes. Communications of the ACM 54: 60-69.
6. Rafols I, Porter AL, Leydesdorff L, (2010) Science Overlay Maps: A New Tool for Research Policy and Library Management. Journal of the American Society for Information Science and Technology 61: 1871-1887.
7. Herr II BW, Talley EM, Burns GA, Newman D, La Rowe G (2009) The NIH Visual Browser: An Interactive Visualization of Biomedical Research. Proceedings of the 13th International Conference on Information Visualization (IV09). Barcelona, Spain: IEEE Computer Society. pp. 505-509.
8. Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. (2009) Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4: e4803.
9. NWB_Team (2006) Network Workbench Tool. Indiana University, Northeastern University, and University of Mich
10. de Nooy W, Mrvar A, Batagelj V (2005) Exploratory Social Network Analysis with Pajek. Cambridge, UK: Cambridge University Press.
11. Davidson GS, Hendrickson B, Johnson DK, Meyers CE, Wylie BN, (1998) Knowledge mining with VxInsight: Discovery through interaction. Journal of Intelligent Information Systems 11: 259-285.
12. Salton G (1989) Automated Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Reading MA: Addison-Wesley Publishing Company.
13. Kruskal JB, Wish M, (1978) Multidimensional Scaling.
14. Kohonen T (1995) Self-organizing maps. Berlin; New York: Springer. xv, 362 p. p.
15. Skupin A (2002) On Geometry and Transformation in Map-like Information Visualization. In: Börner K, Chen C, editors. Visual Interfaces to Digital Libraries (Lecture Notes in Computer Science 2539). Berlin, Germany: Springer-Verlag. pp. 161-170.
16. Skupin A, Agarwal P (2008) Introduction-What is a Self-Organizing Map? In: Agarwal P, Skupin A, editors. Self-Organising Maps: Applications in Geographic Information Science. Chichester, England: John Wiley & Sons. pp. 1-20.
17. Chen H, Schuffels C, Orwig R, (1996) Internet categorization and search: a self-organizing approach. Journal of Visual Communication and Image Representation 7: 88-102.
18. Lin X, (1992) Visualization for the Document Space. IEEE CS Press pp pp. 274-281.
19. Skupin A, (2002) A cartographic approach to visualizing conference abstracts. IEEE Computer Graphics and Applications 22: 50-58.
20. Skupin A, (2004) The World of Geography: Visualizing a knowledge domain with cartographic means. Proceedings of the National Academy of Sciences 101: 5274-5278.
21. Kohonen T, Kaski S, Lagus K, Salojärvi J, Honkela T, et al. (1999) Self Organization of a Massive Text Document Collection. In: Oja E, Kaski S, editors. Kohonen Maps. Amsterdam: Elsevier. pp. 171-182.
22. Boyack KW, Newman D, Duhon RJ, Klavans R, Patek M, et al. (2011) Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches. PLoS ONE pp pp. e18029.
23. Kohonen T, Hynninen J, Kangas J, Laaksonen J, (1996) SOM_PAK: The Self-Organizing Map Program Package. Espoo, Finland: Helsinki University of Technology, Laboratory of Computer and Information Science.
24. Skupin A, (2009) Discrete and continuous conceptualizations of science: Implications for knowledge domain visualization. Journal of Informetrics 3: 233-245.
25. Lawrence RD, Almasi GS, Rushmeier HE, (1999) A scalable parallel algorithm for self-organizing maps with applications to sparse data mining problems. Data Mining and Knowledge Discovery 3: 171-195.
26. Skupin A, (2011) Mapping Text. Glimpse | the art+science of seeing 3: 69-77.
27. Boyack K, Wylie BN, Davidson GS, Johnson DK Analysis of patent databases using VxInsight; 2000; Washington, DC.
28. Wise J, (1999) The ecological approach to text visualization. Journal of the American Society for Information Science 50: 1224-1233.