Combining full-text analysis and bibliometric indicators. A pilot study

• Published in: Scientometrics Vol. 63; no. 1; pp. 163 - 180
• Main Authors: Glenisson, Patrick, Glänzel, Wolfgang, Persson, Olle
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.04.2005
• Subjects: Bibliometrics; Bibliometrics. Scientometrics. Evaluation; Evaluation; Exact sciences and technology; Information and communication sciences; Information science. Documentation; Library and information science. General aspects; Performance measures; Science and technology; Sciences and techniques of general use; Text mining; Cluster analysis; Information mapping; Case study; Automatic classification; Methodology; Information extraction; Full text; Bibliometric analysis
• ISSN: 0138-9130; 1588-2861
• DOI: 10.1007/s11192-005-0208-0

In the present study full-text analysis and traditional bibliometric methods are combined to improve the efficiency of the individual methods in the mapping of science. The methodology is applied to map research papers from a special issue of Scientometrics. The outcomes substantiate that such hybrid methodology can be applied to both research evaluation and information retrieval. The subject classification given by the guest-editors of the special issue is used for validation purposes. Because of the limited number of papers underlying the study the paper is considered a pilot study that will be extended in a later study on the basis of a larger corpus. (Original abstract)