The hidden structure of neuropsychology: Text mining of the journal cortex: 1991-2001

Cortex

Volumn 41, Issue 2, 2005, Pages 103-115

  Kostoff, Ronald N ^a   Buchtel, Henry A ^b,c   Andrews, John ^a   Pfeil, Kirstin M ^a  

^a OFFICE OF NAVAL RESEARCH   (United States)

^b VA ANN ARBOR HEALTHCARE SYSTEM   (United States)

^c UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

Author keywords

Bibliometrics; Citation mining; Computational linguistics; Document clustering; Information technology; Neuropsychology; Text mining

Indexed keywords

BEHAVIOR; BRAIN CORTEX; BRAIN DISEASE; BRAIN FUNCTION; COGNITION; COMPARATIVE STUDY; DATA BASE; EDITORIAL; HEALTH CARE ORGANIZATION; INFORMATION RETRIEVAL; LINGUISTICS; MEDICAL DOCUMENTATION; MEDICAL INFORMATION SYSTEM; NEUROPSYCHOLOGY; PUBLICATION; PUBLISHING; TAXONOMY; WRITING;

EID: 13244259218     PISSN: 00109452     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-9452(08)70885-2     Document Type: Editorial

References (44)

1. Albert ML. Simple test of visual neglect. Neurology, 23: 658-664, 1973.
2. Annett M. Left, Right, Hand and Brain: The Right Shift Theory. London: Lawrence Erlbaum 1985.
3. Axelrod BN and Millis SR. Preliminary standardization of the Cognitive Estimation Test. Assessment, 1: 269-274. 1994.
4. Cutting DR, Karger DR, Pederson JO and Tukey JW. Scatter/Gather: A cluster-based approach to browsing large document collections. In: Proceedings of the 15th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'92). 318-329, 1992.
5. Folstein MF, Folstein SE and McHugh PR. Mini-Mental State: A practical method for grading the state of patients for the clinician. Journal of Psychiatric Research, 12: 189-198, 1975.
6. Guha S, Rastogi R and Shim K. CURE: An efficient clustering algorithm for large databases. In: Proceedings of the ACM-SIGMOD 1998 International Conference on Management of Data (SIGMOD'98). 73-84, 1998.
7. Garfield E. History of citation indexes for chemistry - A brief review. Journal of Chemical Information and Computer Science, 25: 170-174, 1985.
8. Hearst MA. Untangling text data mining. Proceedings of ACL 99, the 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland, June 20-26, 1999.
9. Hearst MA. The use of categories and clusters in information access interfaces. In T Strzalkowski (Ed), Natural Language Information Retrieval. Norwell: Kluwer Academic Publishers, 2000.
10. Karypis G. CLUTO: A clustering toolkit. http://www.cs.umn.edu/~cluto, 2004.
11. Karypis G, Haneh and Kumar V. Chameleon: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer: Special Issue on Data Analysis and Mining, 2: 68-75. 1999.
12. Kostoff RN. Database tomography for technical intelligence, Competitive Intelligence Review, 4: 38-43, 1993.
13. Kostoff RN. Database tomography: Origins and applications, Competitive Intelligence Review, Special Issue on Technology, 5: 48-55, 1994.
14. Kostoff RN The use and misuse of citation analysis in research evaluation. Scientometrics, 43: 27-43, 1998.
15. Kostoff RN. Text mining for global technology watch. In M Drake (Ed), Encyclopedia of Library and Information Science, Second Edition. New York: Marcel Dekker, 2003, pp. 2789-2799.
16. Kostoff RN, Buchtel HA, Andrews J and Pfiel KM. The hidden structure of neuropsychology: Text mining of the Journal Cortex: 1991-2001. DTIC Technical Report Number ADA425 056, 2004
17. Kostoff RN, Braun T, Schubert A, Toothman DR and Humenik J. Fullerene roadmaps using bibliometrics and database tomography. Journal of Chemical Information and Computer Science, 40: 19-39, 2000a.
18. Kostoff RN, del Rio JA, Garcia EO, Ramirez AM and Humenik JA. Citation mining: Integrating text mining and bibliometrics for research user profiling. Journal of the American Society for Information Science and Technology, 52: 1148-1156, 2001.
19. Kostoff RN and Demarco RA. Science and technology text mining. Analytical Chemistry, 73: 370-378A, 2001.
20. Kostoff RN, Eberhart HJ and Miles D. System and Method for Database Tomography, U.S. Patent Number 5440481, August 8, 1995.
21. Kostoff RN, Eberhart HJ and Toothman DR. Database tomography for information retrieval, Journal of Information Science, 23: 301-311, 1997a.
22. Kostoff RN, Eberhart HJ and Toothman DR. Database tomography for technical intelligence: A roadmap of the near-earth space science and technology literature. Information Processing and Management, 34: 69-85, 1998.
23. Kostoff RN, Eberhart HJ and Toothman DR. Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography. Journal of the American Society for Information Science, 50: 427-447, 1999.
24. Kostoff RN, Eberhart HJ, Toothman DR and Pellenberg R. Database tomography for technical intelligence: Comparative roadmaps of the research impact assessment literature and the Journal of the American Chemical Society, Scientometrics, 40: 103-134, 1997b.
25. Kostoff RN and Geisler E. Strategic management and implementation of textual data mining in government organizations. Technology Analysis and Strategic Management, 11: 493-525, 1999.
26. Kostoff RN, Green KA, Toothman DR and Humenik J. Database tomography applied to an aircraft science and technology investment strategy. Journal of Aircraft, 37: 727-730, 2000b.
27. Lostewicz P, Oard D and Kostoff RN. Textual data mining to support science and technology management. Journal of Intelligent Information Systems, 15: 99-119, 2000.
28. Mac Roberts M and Mac Roberts B. Problems of citation analysis. Scientometrics, 36: 435-444, 1996.
29. McKhann G, Drachman D, Folstein M, Katzman R, Price D and Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology, 34: 939-944, 1984.
30. Nelson HE. A modified card sorting test sensitive to frontal lobe defects. Cortex, 12: 313-324, 1976.
31. Oldfield RC. The assessment and analysis of handedness: The Edinburgh Inventory. Neuropsychologia, 9: 97-113, 1971.
32. Prechelt L, Malpohl G and Pilippsen M. Finding plagiarisms among a set of programs with JPlag. Journal of Universal Computer Science, 8: 1016-1038, 2002.
33. Rasmussen E. Clustering Algorithms. In WB Frakes and R Baeza-Yates (Eds), Information Retrieval Data Structures and Algorithms. Upper Saddle River: Prentice Hall, 1992.
34. Science Citation Index. ISI Web of Science. Thomson ISI. Philadelphia, 2004.
35. Shallice T. From Neuropsychology to Mental Structure. Cambridge: Cambridge University Press 1988.
36. Shallice T and Evans ME. The involvement of the frontal lobes in cognitive estimation. Cortex, 14: 294-303, 1978.
37. Snodgrass JG and Vanderwart M. A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6: 174-215, 1980.
38. Steinbach M, Karypis G and Kumar V. A comparison of document clustering techniques. Technical Report N. 00-034. 2000. Department of Computer Science and Engineering. University of Minnesota, 2000.
39. Talairach J and Tournoux P. Co-planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System - an Approach to Cerebral Imaging. New York: Thieme Medical Publishers, 1988.
40. Willet P. Recent trends in hierarchical document clustering: A critical review. Information Processing and Management, 24: 577-597, 1988.
41. Wise MJ. String similarity via greedy string tiling and running Karb-Rabin matching. ftp://ftp.cs.su.oz.au/michaelw/doc/RKR GST.ps, 1992. Dept. of CS, University of Sidney.
42. Zamir O and Etzioni O. Web document clustering: A feasibility demonstration. In: Proceedings of the 19th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98), 46-54, 1998.
43. Zhao Y and Karypis G. Criterion functions for document clustering: Experiments and analysis. Machine Learning, in press.
44. Zhu DH and Porter AL. Automated extraction and visualization of information for technological intelligence and forecasting. Technological Forecasting and Social Change, 69: 495-506 2002.