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Three major principles for the selection of indicator data normalization methods in multi-attribute evaluation are presented in this paper. Principle 1: The relative gap between the data for the same indicator should remain constant; Principle 2: The relative gap between different indicators should remain variable ; and Principle 3: The maximum values after normalization should be equal. According...
This paper classifies common journal evaluation indicators into three categories, namely three first-level indicators. They are respectively the indicators on journal impact, on timeliness, and on journal characteristics. The data used here is drawn from the medical journals in CSTPCD, a citation database built by the Institute of Scientific and Technical Information of China. The three categories...
Journal citation measures are one of the most widely used bibliometric tools. The most well-known measure is the ISI Impact Factor, under the standard definition, the impact factor of journal j in a given year is the average number of citations received by papers published in the previous two years of journal j. However, the impact factor has its ldquointrinsicrdquo limitations, it is a ranking measure...
This paper analyzes the relation between peer review and multi-indicators evaluation for scientific and technical assessment. Based on the data of the 2007 Times Higher-QS world university rankings, we use two methods, multiple linear regression analysis and kappa agreement test, for analysis. The results show that the data abundance affects the agreement between peer review and multi-indicators evaluation...
In light of the working process of S&T system and by means of data envelopment analysis and statistics, this paper establishes an index system from the investment in science & technology, its research and development, and its contribution, thus evaluating the performance of science and technology. Meanwhile, it constructs the framework to evaluate the scientific & technological performance...
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