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Dark Triad Dirty Dozen: Assessing its Parameters Through IRT

Overview of attention for article published in Psico-USF, January 2017
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mendeley
33 Mendeley
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Article details
Title
Dark Triad Dirty Dozen: Assessing its Parameters Through IRT
Published in
Psico-USF, January 2017
DOI 10.1590/1413-82712017220209
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 7 21%
Student > Master 5 15%
Student > Ph. D. Student 3 9%
Other 1 3%
Student > Doctoral Student 1 3%
Other 4 12%
Unknown 12 36%
Readers by discipline
Readers by discipline Count As %
Psychology 16 48%
Agricultural and Biological Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Medicine and Dentistry 1 3%
Unknown 14 42%