Authors:Ling-Chu Lee, Yi-Yang Lee and Yi-Ching Liaw
technology policy. Bibliometricanalysis, on the contrary, is a foresight method related to quantitative perspective, which analyzes required information from the literature database to explore the hidden patterns of technology, as well as predict its future
research projects, the number and quality of CAM publications had increased rapidly (Barnes et al. 1999 ).
Bibliometricanalysis is a quantitative analysis done to aid the evaluation of research performance (Van den Berghe et al. 1998 ). The
maintained by the Institute for Scientific Information (ISI) in Philadelphia for the purpose of indexing publications and forming the basis for bibliometricanalysis, was chosen for bibliometric research in this study due to its index of address information
Authors:Ming-Chao Huang, Shih-Chieh Fang and Shao-Chi Chang
focal applicant's patent portfolio.
This paper is organized as follows. In the first section, we review the literature on patent bibliometricanalysis in the pharmaceutical industry. Next, we present an overview of drug patents in the Orange Book
identify core periodicals and so on.
The goal of the present study is to present empirical data that use bibliometricanalysis of the inventory of bibliographical research in the study of Hebrew printing published between the years 1976–2006; to
seemed appropriate to perform a new bibliometricanalysis covering the time period from 1868 to date and to compare the publication behavior of mathematicians over two centuries. Fortunately, the scientific literature in mathematics has been abstracted
represented by the notion of dimension , which is a particular descriptive component of an event, which is represented as a fact [ 1 ]. Using multidimensional models for bibliometricanalysis is a first important challenge in bibliographic data modeling and
The use of the bibilometric analytical technique for examining tsunami research does not exist in the literature. The objective
of the study was to perform a bibliometric analysis of all tsunami-related publications in the Science Citation Index (SCI).
Analyzed parameters included document type, language of publication, publication output, authorship, publication patterns,
distribution of subject category, distribution of author keywords, country of publication, most-frequently cited article,
and document distribution after the Indonesia tsunami. The US and Japan produced 53% of the total output where the seven major
industrial countries accounted for the majority of the total production. English was the dominant language, comprising 95%
of articles. A simulation model was applied to describe the relationship between the number of authors and the number of articles,
the number of journals and the number of articles, and the percentage of total articles and the number of times a certain
keyword was used. Moreover the tsunami publication patterns in the first 8 months after the Indonesia tsunami occurred on
26 December 2004 indicated a high percentage of non-article publications and more documents being published in journals with
higher impact factors.