Mapping of contents in "Zbornik Biotehniške fakultete Univerze v Ljubljani. Kmetijstvo. Zootehnika" (Research Reports Biotechnical Faculty University of Ljubljana. Agriculture. Zootechny): an analysis of narrower and broader subject areas

Abstract

A bibliometric analysis of volumes 74 (1999) and 76 (2000) (altogether 48 articles) of Zbornik Biotehniške fakultete Univerze v Ljubljani. Kmetijstvo. Zootehnika (Research Reports Biotechnical Faculty University of Ljubljana. Agriculture. Zootechny) was based on the Agrovoc descriptors (de) assigned by an indexer (ENI), computer assigned DE (ENC) and category codes (CC) assigned as indexing terms to the respective articles in the Agris database. Two subject indexes based on ENI and ENC coupled together, and on CC were constructed as a material for further analysis. The scatter of indexing terms was then compared with some scientometric laws such as those by Bradford, Zipf, and others. Among 357 different DE (ENI and ENC coupled together in one file) some 80 % were assigned only once or twice. 210 DE occured only once. Organism DE maintained the highest frequency (bacteria: 16 times, followed by useful animals: 13 times). Some 20 % of all different DE were assigned to half of the articles. Among ENI 154 of 221 terms occured only once. Aspect DE possessed the highest frequency among ENI (chemical composition: 11 times, followed by proximate composition: 10 times). Some indexing characteristics were further highlighted such as the use of synonyms and related terms. The results of macroindexing with CC were interpreted with some limitations as there are in classification schemes no sufficient macrocategories referring to microbiology or biotechnology of microorganisms. All of the records of the Slovenian Agris output were processed by one indexer thus maintaining a relatively high indexing consistency what facilitates better information retrieval.