Towards to author’s analytics: the case of DYNA journal

In this article, systematic mapping of literature, business intelligence, descriptive analytics and tech mining techniques are used to generate insights to made data-driven editorial decisions and to formulate editorial policies. The proposed methodology is called author analytics in this work, and...

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Bibliographic Details
Main Authors: Juan David Velásquez Henao, Adriana Arango Londoño, Alex Santiago Contreras Hernández
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2020-11-01
Series:Dyna
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/86505
Description
Summary:In this article, systematic mapping of literature, business intelligence, descriptive analytics and tech mining techniques are used to generate insights to made data-driven editorial decisions and to formulate editorial policies. The proposed methodology is called author analytics in this work, and it has the aim of providing an integral view of the authors and topics of the journal and the authors, topics, documents, and journals citing the journal under review. The proposed methodology is applied to the DYNA (Colombia) journal. The proposed analysis reveals different and complementary points of view of the analyzed journal.
ISSN:0012-7353
2346-2183