Structure and infrastructure of infectious agent research literature: SARS

Scientometrics

Volumn 86, Issue 1, 2011, Pages 195-209

  Kostoff, Ronald N ^a   Morse, Stephen A ^b  

^a MITRE CORPORATION   (United States)

^b NATL CENTER FOR INFECTIOUS DISEASES   (United States)

Author keywords

Bibliometrics; Citation analysis; Coronavirus; Infectious diseases; Severe acute respiratory syndrome (SARS); Text mining

Indexed keywords

EID: 78649971687     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-010-0240-6     Document Type: Article

References (27)

1. Davidse, R. J., & van Raan, A. F. J. (1997). Out of particles: impact of CERN, DESY, and SLAC research to fields other than physics. Scientometrics, 40(2), 171-193.
2. Feng, Y. J., & Gao, G. F. (2007). Towards our understanding of SARS-CoV, an emerging and devastating but quickly conquered virus. Comparative Immunology, Microbiology and Infectious Diseases, 30(5-6), 309-327.
3. Garfield, E. (1985). History of citation indexes for chemistry-a brief review. JCICS, 25(3), 170-174.
4. Goldman, J. A., Chu, W. W., Parker, D. S., & Goldman, R. M. (1999). Term domain distribution analysis: A data mining tool for text databases. Methods of Information in Medicine, 38, 96-101.
5. Greengrass, E. (1997). Information retrieval: An overview. National Security Agency. TR-R52-02-96.
6. Hao, P., Chen, M., Zhang, G. Q., He, W. Z., & Li, Y. X. (2006). Bioinformatics research on the SARS coronavirus (SARS_CoV) in China. Current Pharmaceutical Design, 12(35), 4565-4572.
7. Hearst, M. A. (1999). Untangling text data mining. In Proceedings of ACL 99, the 37th annual meeting of the association for computational linguistics, June 20-26, 1999. University of Maryland.
8. Janies, D., Habib, F., Alexandrov, B., Hill, A., & Pol, D. (2008). Evolution of genomes, host shifts and the geographic spread of SARS-CoV and related coronaviruses. Cladistics, 24(2), 111-130.
9. Karypis, G. (2004). CLUTO-A clustering toolkit. http://www. cs. umn. edu/cluto.
10. Kostoff, R. N. (2003). Bilateral asymmetry prediction. Medical Hypotheses, 61(2), 265-266.
11. Kostoff, R. N. (2008). Literature-related discovery: Introduction and background. In R. N. Kostoff (Ed.), Special issue on literature-related discovery. Technological forecasting and social change, 75(2), 165-185.
12. Kostoff, R. N., Braun, T., Schubert, A., Toothman, D. R., & Humenik, J. (2000). Fullerene roadmaps using bibliometrics and Database Tomography. Journal of Chemical Information and Computer Science, 40(1), 19-39.
13. Kostoff, R. N., Briggs, M., Rushenberg, R., Bowles, C. A., & Pecht, M. (2006). The structure and infrastructure of Chinese science and technology. DTIC Technical report number ADA443315. Fort Belvoir, VA: Defense Technical Information Center. http://www. dtic. mil/.
14. Kostoff, R. N., Briggs, M. B., Solka, J. A., Rushenberg, R. L. (2008). Literature-related discovery: Methodology. In R. N. Kostoff (Ed.), Special issue on literature-related discovery. Technological Forecasting and Social Change, 75(2), 186-202.
15. Kostoff, R. N., Del Rio, J. A., García, E. O., Ramírez, A. M., & Humenik, J. A. (2001). Citation mining: Integrating text mining and bibliometrics for research user profiling. Journal of the American Society for Information Science and Technology, 52(13), 1148-1156.
16. Kostoff, R. N., Eberhart, H. J., & Toothman, D. R. (1997). Database Tomography for information retrieval. Journal of Information Science, 23(4), 301-311.
17. Kostoff, R. N., Morse, S. A., & Oncu, S. (2007). The seminal literature of anthrax research. Critical Reviews in Microbiology, 33(3), 171-181.
18. Kostoff, R. N., Shlesinger, M. F., & Malpohl, G. (2004a). Fractals roadmaps using bibliometrics and Database Tomography. Fractals, 12(1), 1-16.
19. Kostoff, R. N., Shlesinger, M. F., & Tshiteya, R. (2004b). Nonlinear dynamics roadmaps using bibliometrics and Database Tomography. International Journal of Bifurcation and Chaos, 14(1), 61-92.
20. Losiewicz, P., Oard, D., & Kostoff, R. N. (2000). Textual data mining to support science and technology management. Journal of Intelligent Information Systems, 15, 99-119.
21. Narin, F. (1976). Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity (monograph). NSF C-637. National Science Foundation. 1976. Contract NSF C-627. NTIS accession no. PB252339/AS.
22. Narin, F., Olivastro, D., & Stevens, K. A. (1994). Bibliometrics theory, practice and problems. Evaluation Review, 18(1), 65-76.
23. Schubert, A., Glanzel, W., & Braun, T. (1987). Subject field characteristic citation scores and scales for assessing research performance. Scientometrics, 12(5-6), 267-291.
24. Swanson, D. R. (1986). Fish Oil, Raynauds Syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, 30(1), 7-18.
25. Swanson, D. R., Smalheiser, N. R., & Bookstein, A. (2001). Information discovery from complementary literatures: Categorizing viruses as potential weapons. Journal of the American Society for Information Science and Technology, 52(10), 797-812.
26. Zhang, Z. B. (2007). The outbreak pattern of SARS cases in China as revealed by a mathematical model. Ecological Modelling, 204(3-4), 420-426.
27. Zhao, Y., & Karypis, G. (2004). Empirical and theoretical comparisons of selected criterion functions for document clustering. Machine Learning, 55(3), 311-331.