学术期刊移动传播力评价模型及其应用

【目的】 以广东省公开发行的17种学术期刊为调研对象,评析学术期刊移动传播效果,为提升期刊影响力提供参考。【方法】 将期刊情况、网站情况、微博使用情况、微信公众号使用情况、入驻数据库客户端情况和期刊自有App 等数据代入已构建的学术期刊移动传播力评价模型,分析和探讨媒体融合下学术期刊移动传播力现状、问题与发展对策。为验证模型的稳定性和可靠性,依据学科分类将期刊分成社科期刊组和科技期刊组,比较两组期刊移动传播指数有无统计学差异。【结果】 纳入研究的17种学术期刊中,移动传播指数较高的是《电镀与涂饰》《体育学刊》《中山大学学报(社会科学版)》《中国病理生理杂志》《器官移植》《中山大学学报(医学版)》等,提示此类期刊的移动传播力较强。由于学术期刊移动传播指数的二级指标是动态变化的,因此该指数也是动态变化的。经两独立样本t检验,发现不同组别之间的移动传播指数差异无统计学意义(P>0.05),提示构建的传播模型受学科因素的影响小。【结论】 此评价指标模型同时具有动态变化性和稳定性的特征,是可操作且科学合理的,能够明确学术期刊移动传播工作的指导方向和提升策略。

Evaluation model of mobile communication power in academic journals and its application

[Purposes] We choose 17 academic journals published in Guangdong Province as study objects to analyze mobile communication effects of academic journals and provide references for improving the influence of other journals. [Methods] We put the data such as journal situation, website situation, usage of micro-blog, usage of WeChat official accounts, situation of database client, and usage of journal developed App into the established academic journal mobile communication power evaluation model to discuss the present condition, existing problems, and development countermeasures of academic journals. In order to test the stability and reliability of the proposed model, we divided the periodicals into social science periodicals and technical periodicals according to the subjects, and compared the differences between these two groups. [Findings] Among the 17 academic journals, the mobile communication index of Electroplating & Finishing, Journal of Physical Education, Journal of Sun Yat-sen University (Social Science Edition), Chinese Journal of Pathophysiology, Organ Transplantation, and Journal of Sun Yat-sen University (Medical Science Edition) are better than those of other journals. It suggests that these journals have strong mobile communication ability. The secondary index of mobile communication index is dynamic, and the mobile communication index of academic journals is also dynamic. We compare the mobile communication index of social science journals and scientific journals by two independent samples t-test. There is no significant difference between two groups (P>0.05). It is suggested that the constructed communication model should not be affected by subject. [Conclusions] The proposed mobile communication evaluation model has the characteristics of dynamic change and stability at the same time. It is operable, scientific, and reasonable, and it can clarify the direction and promotion strategy of mobile communication of academic journals.