Author

F. J. Cantu-Ortiz

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Scientific Communication & Education· 1

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Research Focus:benchmarking· 1 Approach:statistical model· 1

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B. S. Lancho-Barrantes· 1 shared H. G. Ceballos· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperScientific Communication & Education

B. S. Lancho-Barrantes

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Scientific Communication & EducationbioRxivPreprintFeb 25, 2019

Factors that influence scientific productivity from different countries: A causal approach through multiple regression using panel data

B. S. Lancho-Barrantes, H. G. Ceballos, F. J. Cantu-Ortiz

This paper uses panel data and multiple regression to identify factors influencing scientific productivity across 19 countries, finding that two variables explain 98% of scientific output.

DOI 10.1101/558254

statistical modelbenchmarking

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