Mapping the highly collaborative stem cell research field: adding last-author-based analysis to the author co-citation analysis family

Authors:
Dangzhi Zhao;Andreas Strotmann
Affiliations:
University of Alberta;University of Alberta
Venue:
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Year:
2010

Citing 9
Cited 1

Fractional counting of multiauthored publications: consequences for the impact of authors

Journal of the American Society for Information Science
Hyperauthorship: a postmodern perversion or evidence of a structural shift in scholarly communication practices?

Journal of the American Society for Information Science and Technology
Author cocitation analysis and Pearson's r

Journal of the American Society for Information Science and Technology
Towards all-author co-citation analysis

Information Processing and Management: an International Journal - Special issue: Informetrics
Information science during the first decade of the web: An enriched author cocitation analysis

Journal of the American Society for Information Science and Technology
Scientific collaboration

Annual Review of Information Science and Technology
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: an International Journal - Special issue: Infometrics
Mapping research specialties

Annual Review of Information Science and Technology
Communication in the sciences

Annual Review of Information Science and Technology

Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches

Journal of the American Society for Information Science and Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we compare author cocitation analysis (ACA) results for the highly collaborative stem cell (SC) research field 2004--2009 using three types of ACA: all-author, first-author, and last-author. The latter of these, introduced here for the first time, is found to be an excellent compromise between first- and all-author ACAs in that (a) Scopus directly supports it and (b) its results are close to those of an (optimal) all-author ACA in fields where last authors are traditionally those who supervise the research published in a paper. We confirm predictions from previous studies that all-author ACA results have better model fits than single-author ACA ones, but cannot confirm the hypothesis that significantly higher levels of collaboration in a field lead to significantly greater differences between first- and all-author ACA results.