Objective: To explore personality characteristics and personality types of drug users. Methods: 192 cases of drug users were tested using CPI and the cluster analysis was based on the data of 20 sub-scales. Results: F...Objective: To explore personality characteristics and personality types of drug users. Methods: 192 cases of drug users were tested using CPI and the cluster analysis was based on the data of 20 sub-scales. Results: First, in Sociability and Flexibility two sub-scales the drug user present better than the normal group, but in other sub-scales were worse or much worse such as Responsibility, Socialization, Sense of Wellbeing, Achievement Via Conformance and Achievement Via Independence sub-scales. Second, 192 cases of drug users were divided into four groups by hierarchical cluster analysis, they were Sociality, Idleness, Independence and Conformance. Conclusion: The drug users had some special personality characteristics and they were divided into four typical personality types.展开更多
[目的/意义]科学论文的首条推特是论文在推特平台传播的起点,对论文首条推特进行分析有利于展现推特数据的积累模式与用户行为特征。[研究设计/方法]以200余万篇Web of Science论文为样本,对不同学科领域科学论文首条推特的积累速度和...[目的/意义]科学论文的首条推特是论文在推特平台传播的起点,对论文首条推特进行分析有利于展现推特数据的积累模式与用户行为特征。[研究设计/方法]以200余万篇Web of Science论文为样本,对不同学科领域科学论文首条推特的积累速度和用户类型进行了大规模比较研究。[结论/发现]生物医学与健康科学、人文与社会科学领域的论文具有最高的推特数据覆盖率。物理学与工程学领域的论文则表现出最快的首条推特积累速度。大部分情况下,科学传播者和科研人员是最快发布首条推特的用户类型。此外,对于大部分发表了较多推特数据的论文的国家/地区而言,来自当地的推特用户很大程度上贡献了本国/地区作者发表论文的首条推特。[创新/价值]对首条推特的分析有助于从数据积累的源头理解科学论文在推特平台的传播过程。展开更多
文摘Objective: To explore personality characteristics and personality types of drug users. Methods: 192 cases of drug users were tested using CPI and the cluster analysis was based on the data of 20 sub-scales. Results: First, in Sociability and Flexibility two sub-scales the drug user present better than the normal group, but in other sub-scales were worse or much worse such as Responsibility, Socialization, Sense of Wellbeing, Achievement Via Conformance and Achievement Via Independence sub-scales. Second, 192 cases of drug users were divided into four groups by hierarchical cluster analysis, they were Sociality, Idleness, Independence and Conformance. Conclusion: The drug users had some special personality characteristics and they were divided into four typical personality types.
文摘[目的/意义]科学论文的首条推特是论文在推特平台传播的起点,对论文首条推特进行分析有利于展现推特数据的积累模式与用户行为特征。[研究设计/方法]以200余万篇Web of Science论文为样本,对不同学科领域科学论文首条推特的积累速度和用户类型进行了大规模比较研究。[结论/发现]生物医学与健康科学、人文与社会科学领域的论文具有最高的推特数据覆盖率。物理学与工程学领域的论文则表现出最快的首条推特积累速度。大部分情况下,科学传播者和科研人员是最快发布首条推特的用户类型。此外,对于大部分发表了较多推特数据的论文的国家/地区而言,来自当地的推特用户很大程度上贡献了本国/地区作者发表论文的首条推特。[创新/价值]对首条推特的分析有助于从数据积累的源头理解科学论文在推特平台的传播过程。
