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Dark Triad Dirty Dozen: Avaliando seus Parâmetros Via TRI

Overview of attention for article published in PsicoUSF, May 2017
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Title
Dark Triad Dirty Dozen: Avaliando seus Parâmetros Via TRI
Published in
PsicoUSF, May 2017
DOI 10.1590/1413-82712017220209
Authors

Emerson Diógenes de Medeiros, Renan Pereira Monteiro, Rildésia Silva Veloso Gouveia, Bruna da Silva Nascimento, Valdiney Veloso Gouveia

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 25%
Student > Master 5 18%
Student > Ph. D. Student 3 11%
Professor > Associate Professor 2 7%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Psychology 16 57%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 8 29%