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Utilization of synergetic human-machine clouds: a big data cleaning case

Overview of attention for article published in this source, June 2014
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36 Mendeley
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Article details
Title
Utilization of synergetic human-machine clouds: a big data cleaning case
Published by
Association for Computing Machinery (ACM), June 2014
DOI 10.1145/2593728.2593733
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 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 %
United States 1 3%
Russia 1 3%
Germany 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Student > Doctoral Student 6 17%
Student > Master 6 17%
Researcher 3 8%
Professor > Associate Professor 3 8%
Other 4 11%
Unknown 5 14%
Readers by discipline
Readers by discipline Count As %
Computer Science 27 75%
Business, Management and Accounting 2 6%
Agricultural and Biological Sciences 1 3%
Engineering 1 3%
Unknown 5 14%