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Journal of Behavioral Addictions
Authors: Bach Xuan Tran, Giang Hai Ha, Giang Thu Vu, Chi Linh Hoang, Son Hoang Nguyen, Cuong Tat Nguyen, Carl. A. Latkin, Wilson WS Tam, Cyrus S. H. Ho, and Roger C. M. Ho

obtain a broad view of research development concerning certain topics, researchers have generally adopted bibliometrics analytic. The limitation of bibliometrics, however, has been in its lack of power to discover the landscape of research topics hidden

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Abstract  

In our 1975 monograph Evaluative Bibliometrics we discussed the many uses of publication and citation analysis in the evaluation of scientific activities, and some of the basic statistical properties of the scientific literature, particularly the skewness of the distributions of publications and citations, reference time distributions, and various anomalies in the citation patterns from one country to another. Over the last ten years we have devoted much of our energy to the development of an analogous research base and infrastructure for patent bibliometrics, that is for the use of patents, and patent citations in the evaluation of technological activities. There are remarkable similarities between literature bibliometrics and patent bibliometrics, and they are both applicable to the same wide ranges of problems. This paper will show that there are striking similarities between literature and patent distributions of national productivity, inventor productivity, referencing cycles, citation impact and within country citation preferences.

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scientific activities. A considerable part consisted of bibliometric indicators (National Science Board 1973 ; Elkana et al. 1978 ; Moed et al. 1992 ). The example set by the NSF was followed by a large number of countries in the second half of the 1980s

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Scientometrics
Authors: Peng Hui Lv, Gui-Fang Wang, Yong Wan, Jia Liu, Qing Liu, and Fei-cheng Ma

for scientific research. The derived statistics that measuring the contribution of scientific publications within a given topic (Su and Lee 2010 ) could represent current research trends and be used to identify focuses of future. Through bibliometric

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. Luwel , M. Spruyt , E. H. J. 1998 Bibliometric indicators of university research performance in Flanders Journal of the American Society for Information Science

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Introduction When talking about bibliometric studies in the field of mathematics, the name of Wagner-Döbler should get a special mention as he carried out many different studies of this type, some of them in cooperation with

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appointed panels of experts. In general, these assessments give the greatest weight to output quality. But recent developments in bibliometric indicators, particularly for measurement of publication quality, have lead many governments to introduce the more

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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 bibliometric analysis is a first important challenge in bibliographic data modeling and

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Manufacturing journal?”, “What is the bibliometric positioning of different Manufacturing journals and their influence on the scientific community?” Answering the previous questions is not easy. There are many ways to monitor, compare and study how

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Abstract  

Three different types of bibliometrics — literature bibliometrics, patent bibliometrics, and linkage bibliometric can all be used to address various government performance and results questions. Applications of these three bibliometric types will be described within the framework of Weinberg's internal and external criteria, whether the work being done is good science, efficiently and effectively done, and whether it is important science from a technological viewpoint. Within all bibliometrics the fundamental assumption is that the frequency with which a set of papers or patents is cited is a measure of the impact or influence of the set of papers. The literature bibliometric indicators are counts of publications and citations received in the scientific literature and various derived indicators including such phenomena as cross-sectoral citation, coauthorship and concentration within influential journals. One basic observation of literature bibliometrics, which carries over to patent bibliometrics, is that of highly skewed distributions — with a relatively small number of high-impact patents and papers, and large numbers of patents and papers of minimal impact. The key measure is whether an agency is producing or supporting highly cited papers and patents. The final set of data are in the area of linkage bibliometrics, looking at citations from patents to scientific papers. These are particularly relevant to the external criteria, in that it is quite obvious that institutions and supporting agencies whose papers are highly cited in patents are making measurable contributions to a nation's technological progress.

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