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Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media

Overview of attention for article published in this source, August 2016
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2 X users

Readers on

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56 Mendeley
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Article details
Title
Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media
Published by
Institute of Electrical and Electronics Engineers (IEEE), August 2016
DOI 10.1109/asonam.2016.7752261
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 56 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 56 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 8 14%
Lecturer 6 11%
Student > Ph. D. Student 5 9%
Student > Postgraduate 4 7%
Student > Bachelor 3 5%
Other 7 13%
Unknown 23 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 21 38%
Environmental Science 2 4%
Arts and Humanities 1 2%
Linguistics 1 2%
Nursing and Health Professions 1 2%
Other 5 9%
Unknown 25 45%