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Can I read Research Analytics: Boosting University Productivity And Competitiveness Through Scientometrics (data Analytics Applications) on EtoBox?

Research Analytics: Boosting University Productivity And Competitiveness Through Scientometrics (data Analytics Applications) by Francisco J. Cantu-Ortiz is a nonfiction available to read on EtoBox.

What is Research Analytics: Boosting University Productivity And Competitiveness Through Scientometrics (data Analytics Applications) about?

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 9–15 years, and the need for methods and tools to understand what is reported in scientific literature becomes evident. As the number of academicians and innovators swells, so do the number of publications of all types, yielding outlets of documents and depots of authors and institutions that need to be found in Bibliometric databases. These databases are dug into and treated to hand over metrics of research performance by means of Scientometrics that analyze the toil of individuals, institutions, journals, countries, and even regions of the world. The objective of this book is to assist students, professors, university managers, government, industry, and stakeholders in general, understand which are the main Bibliometric databases, what are the key research indica

Who reads Research Analytics: Boosting University Productivity And Competitiveness Through Scientometrics (data Analytics Applications)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Francisco J. Cantu-Ortiz
Publisher
Auerbach Publications
Published
2017
Language
EN
ISBN
9780367837112
Category
nonfiction
Subjects
Technology, Science, Mathematics

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