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The Quantified Self-in-Place: Opportunities and Challenges for Place-Based N-of-1 Datasets

Overview of attention for article published in Frontiers in Computer Science, August 2020
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Title
The Quantified Self-in-Place: Opportunities and Challenges for Place-Based N-of-1 Datasets
Published in
Frontiers in Computer Science, August 2020
DOI 10.3389/fcomp.2020.00038
Authors

Benjamin W. Chrisinger

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Other 1 10%
Student > Master 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 3 30%
Business, Management and Accounting 1 10%
Environmental Science 1 10%
Psychology 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 3 30%