Scientometrics of big science: A case study of research in the Sloan Digital Sky Survey

Scientometrics

Volumn 86, Issue 1, 2011, Pages 1-14

  Zhang, Jian ^a   Vogeley, Michael S ^b   Chen, Chaomei ^a  

^a Drexel University   (United States)

^b DREXEL UNIVERSITY   (United States)

Author keywords

Bibliometric; Entropy analysis; Large scale scientific project; Publication analysis; Sloan Digital Sky Survey

Indexed keywords

EID: 78649923749     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-010-0318-1     Document Type: Article

References (25)

1. Abt, H. A. (1981). Some trends in American astronomical publications. Publications of the Astronomical Society of the Pacific, 553, 269-272.
2. Abt, H. A. (1990). Trends toward internationalization in astronomical literature. Publications of the Astronomical Society of the Pacific, 102, 368-372.
3. Abt, H. A. (1994). The current burst in astronomical publications. Publications of the Astronomical Society of the Pacific, 106, 1015-1017.
4. Abt, H. A. (2000). Astronomical publication in the near future. Publications of the Astronomical Society of the Pacific, 112, 1417-1420.
5. Abt, H. A. (2007). The frequency of multinational papers in various sciences. Scientometrics, 72, 105-115.
6. Basu, A., & Lewison, G. (2005). Going beyond journal classification for evaluation of research outputs-A case study of global astronomy and astrophysics research. ASLIB Proceedings, 57(3), 232-246.
7. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
8. Cover, T. M., & Thomas, J. A. (1991). Elements of information theory (99th ed.). New York: Wiley.
9. Fernandez, J. A. (1998). The transition from an individual science to a collective one: The case of astronomer. Scientometrics, 42, 61-74.
10. Garfield, E., Pudovkin, A. I., & Istomin, V. S. (2003). Why do we need algorithmic historiography? Journal of the American Society for Information Science and Technology, 54, 400-412.
11. Gray, J., Liu, D. T., Santisteban, M. N., Szalay, A. S., DeWitt, D., & Heber, G. (2005). Scientific data management in the coming decade. Microsoft Research Technical Report MSR-TR-2005-10. Redmond, WA. http://research. microsoft. com/~Gray/. Accessed 27 May 2007.
12. Grupp, H. (1990). The concept of entropy in scientometrics and innovation research. Scientometrics, 18, 219-239.
13. Leydesdorff, L., & Hellsten, I. (2005). Metaphors and diaphors in science communication. Science Communication, 27(1), 64-99.
14. Leydesdorff, L., & Hellsten, I. (2006). Measuring the meaning of words in contexts: An automated analysis of controversies about 'Monarch butterflies', 'Frankenfoods', and 'stem cells'. Scientometircs, 67(2), 231-285.
15. Purvis, A., & Hector, A. (2000). Getting the measure of biodiversity. Nature, 405, 212-219.
16. Schilling, G. (2001). The virtual observatory moves closer to reality. Science, 289(5477), 238, July 14.
17. Schmidt, M., Glaser, J., Havemann, F., & Hewz, M. (2006). A methodological study for measuring the diversity of science. In Proceedings International Workshop on Webometrics, Informetrics and Scientometrics & Seventh COLLNET Meeting (pp. 129-137), Nancy, France.
18. Small, H. (2004). Why authors think their papers are highly cited. Scientometrics, 60(3), 305-316.
19. Swanson, D. R., Smalheiser, N. R., & Torvik, V. I. (2006). Ranking indirect connections in literature-based discovery: The role of medical subject headings. Journal of American Society of Information Science and Technology, 57(11), 1427-1439.
20. Szalay, A. S. (2001). The national virtual observatory. In F. R. Harnden, F. A. Primini, Jr., & H. E. Payne (Eds.), Astronomical Data Analysis Software and Systems X ASP Conference Series, 238, pp. 3-12.
21. Szalay, A. S., Kunszt, P., Thakar, A., Gray, J., Slutz, D., & Bruner, R. J. (2000). Designing and mining multi-terabyte astronomy archives: The Sloan Digital Sky Survey. In Proceedings of the ACM SIGMOD, Austin, TX, May 2000.
22. Toutanova, K., Klein, D., Manning, C. D., & Singer, Y. (2003). Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics (HLT-NAACL) (pp. 252-259), Edmonton, Canada, May 2003.
23. Toutanova, K., & Manning, C. D. (2000). Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000) (pp. 63-70), Hong Kong, China, October 2000.
24. White, S. D. M. (2007). Fundamentalist physics: Why Dark Energy is bad for astronomy. Reports on Progress in Physics, 70, 883-897.
25. York, D. G., Adelman, J., Anderson, J. E., Anderson, S. F., Annis, J., Bahcall, N. A., et al. (2000). The Sloan Digital Sky Survey: Technical summary. The Astronomical Journal, 120, 1579-1587.