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Modeling Time-to-Acceptance for ISI-Indexed Journals in the Profession of Library and Information Science

机译:在图书馆和情报学专业中对ISI索引期刊的接受时间建模

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There are many factors affecting review duration after a paper has been submitted to a journal. Developing a time-to-acceptance model of each journal for the whole time span from submission to acceptance can help researchers when they are selecting journals to publish research results, as well as help editors when they are optimizing workflow and strategy. Using ISI-indexed journals in the profession of library and information science as an example, this study aims to explore the possible patterns of time-to-acceptance for refereed articles. Based on the theories of maximum likelihood estimation, this article models probability distributions for the retrieved data through the R package fitdistrplus. The Kolmogorov-Smirnov test is further used to determine if the distribution for each journal can be accepted.
机译:有许多因素会影响论文提交期刊后的审查时间。开发每个期刊从投稿到接受的整个时间的接受模型,可以帮助研究人员选择期刊来发表研究成果,也可以帮助编辑人员优化工作流程和策略。以图书馆和信息科学专业的ISI索引期刊为例,本研究旨在探讨被推荐文章接受时间的可能模式。基于最大似然估计的理论,本文通过R包fitdistrplus对获取的数据的概率分布进行建模。进一步使用Kolmogorov-Smirnov检验来确定每个期刊的分配是否可以接受。

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