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Dangzhi Zhao
Dangzhi Zhao
School of Library and Information Studies, University of Alberta, Edmonton, AB, T6G 2J4, Canada andreas.strotmann@ualberta.ca
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Andreas Strotmann
Andreas Strotmann
School of Library and Information Studies, University of Alberta, Edmonton, AB, T6G 2J4, Canada andreas.strotmann@ualberta.ca
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Abstract
This study is an attempt to approach the intellectual structure of the stem cell research field 2004–2009 through a comprehensive author co-citation analysis (ACA), and to contribute to a better understanding of a field that has been brought to the forefront of research, therapy and political and public debates, which, hopefully, will in turn better inform research and policy. Based on a nearly complete and clean dataset of stem cell literature compiled from PubMed and Scopus, and using automatic author disambiguation to further improve results, we perform an exclusive all-author ACA of the 200 top-ranked researchers of the field by fractional citation count. We find that, despite the theoretically highly interdisciplinary nature of the field, stem cell research has been dominated by a few central medical research areas—cancer and regenerative medicine of the brain, the blood, the skin, and the heart—and a core of cell biologists trying to understand the nature and the molecular biology of stem cells along with biotechnology researchers investigating the practical identification, isolation, creation, and culturing of stem cells. It is also remarkably self-contained, drawing only on a few related areas of cell biology. This study also serves as a baseline against which the effectiveness of a range of author-based bibliometric methods and indicators can be tested, especially when based on less comprehensive datasets using less optimal analysis methods.
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-
Ahlgren, P, Jarneving, B, Rousseau, R 2003 Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient. Journal of the American Society for Information Science 54:550–560 .
-
Bordons, M, Gomez, I, Fernandes, MT, Zulueta, MA, Mendez, A 1996 Local, domestic and international scientific collaboration in biomedical research. Scientometrics 37 2 279–295 .
-
Borgman, CL, Furner, J 2002 Scholarly communication and bibliometrics. Annual Review of Information Science and Technology 36:3–72.
-
Brown, C 2010 Communication in the sciences. Annual Review of Information Science and Technology 44:287–316.
-
Cronin, B 2001 Hyperauthorship: A postmodern perversion or evidence of a structural shift in scholarly communication practices?. Journal of the American Society for Information Science and Technology 52 7 558–569 .
-
Department of Health and Human Services. (2001). Stem cells: Scientific progress and future research directions. Retrieved May 21, 2010 from http://stemcells.nih.gov/info/2001report/2001report/.
-
Department of Health and Human Services. (2006). Regenerative medicine. Retrieved May 21, 2010 from http://stemcells.nih.gov/info/2006report/.
-
Hair, JF, Anderson, RE, Tatham, RL, Black, WC 1998 Multivariate data analysis 5 Prentice Hall Upper Saddle River, NJ.
-
Lindsey, D 1980 Production and citation measures in the sociology of science: The problem of multiple authorship. Social Studies of Science 10:145–162 .
-
Morris, SA B Van der Veer Martens 2009 Mapping research specialties. Annual Review of Information Science and Technology 42:213–295 .
-
Newman, MEJ 2001 The structure of scientific collaboration networks. Proceedings of the National Academy of Science of the USA 98 2 404–409 .
-
Sonnenwald, DH 2008 Scientific collaboration. Annual Review of Information Science and Technology 41:643–681 .
-
Strotmann, A., Zhao, D., & Bubela, T. (2009). Author name disambiguation for collaboration network analysis and visualization. Proceedings of The American Society for Information Science and Technology 2009 Annual Meeting, November 6-11, 2009, Vancouver, BC, Canada.
-
Strotmann, A, Zhao, D, Bubela, T 2010 Combining commercial and open access citation databases to delimit highly interdisciplinary research fields for citation analysis studies. Journal of Informetrics 4 2 194–200 .
-
G Van Hooydonk 1997 Fractional counting of multiauthored publications: Consequences for the impact of authors. Journal of the American Society for Information Science 48:944–945 .
-
White, HD 2003 Author cocitation analysis and Pearson's r. Journal of the American Society for Information Science and Technology 54:1250–1259 .
-
White, HD, McCain, KW 1989 Bibliometrics. Annual Review of Information Science and Technology 24:119–186.
-
White, HD, McCain, KW 1997 Visualization of literatures. Annual Review of Information Science and Technology 32:99–168.
-
White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972-1995. Journal of the American Society for Information Science, 49, 327–355.
-
Zhao, D 2005 Challenges of scholarly publications on the web to the evaluation of science—A comparison of author visibility on the web and in print journals. Information Processing and Management 41 6 1403–1418 .
-
Zhao, D. (2006a). Dispelling the myths behind straight citation counts. Information realities: Shaping the digital future for all—Proceedings of the American Society for Information Science and Technology 2006 Annual Meeting, November 3-8, 2006, Austin, TX, USA.
-
Zhao, D 2006 Towards all-author co-citation analysis. Information Processing and Management 42:1578–1591 .
-
Zhao, D, Strotmann, A 2008 Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics 2 3 229–239 .
-
Zhao, D, Strotmann, A 2008 Information science during the first decade of the web: An enriched author co-citation analysis. Journal of the American Society for Information Science and Technology 59 6 916–937 .
-
Zhao, D., & Strotmann, A. (2008c). Evolution of research activities and intellectual influences in Information Science 1996-2005: Introducing author bibliographic coupling analysis. Journal of the American Society for Information Science and Technology, 59 (13), 2070–2086.
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| Scientometrics | |
|---|---|
| Language | English |
| Size | B5 |
| Year of Foundation |
1978 |
| Volumes per Year |
1 |
| Issues per Year |
12 |
| Founder | Akadémiai Kiadó |
| Founder's Address |
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. |
| Publisher | Akadémiai Kiadó Springer Nature Switzerland AG |
| Publisher's Address |
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11. |
| Responsible Publisher |
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| ISSN | 0138-9130 (Print) |
| ISSN | 1588-2861 (Online) |
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