C9高校学科建设的绩效评价与预测--基于ESI和InCites数据库

Studies on Performance Evaluation and Prediction for the Disciplinary Building-up of China C9 Universities: An Analysis Based on ESI and InCites

详细介绍了联合应用ESI和InCites数据库对中国C9高校学科建设的绩效评价和预测方法。基于简单的数学模型计算了9所C9高校22大学科的学科优势,根据学科优势值的大小判断入选ESI的学科,结果与各高校实际入选ESI的学科基本一致。对将要入选ESI数据库的学科进行了预测。根据C9高校入选ESI学科的分布,对中国高校学科建设和发展现状进行了评价。

The evaluating and predicting methods of disciplinary building-up and development of domestic C9 universities based on Es- sential Science Indicators （ESI） and InCites databases were introduced in detail. Based on a simple mathematical model, we calculat- ed the disciplinary preponderance values of 22 subjects for nine C9 universities. Based on the size of the disciplinary preponderance values, we judged discipline selected in ESI, the results were consistent with the actual disciplines selected in ESI. The prediction that will be selected into ESI recently were carried out. Based on the distribution of probabilities of C9 universities subjects selected into ESI, the current situation of disciplinary building-up and development of domestic C9 universities were evaluated.