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A Framework for Learning About Big Data with Mobile Technologies for Democratic Participation: Possibilities, Limitations, and Unanticipated Obstacles

Overview of attention for article published in Technology, Knowledge and Learning, April 2013
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Mentioned by

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2 X users

Citations

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Readers on

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121 Mendeley
Title
A Framework for Learning About Big Data with Mobile Technologies for Democratic Participation: Possibilities, Limitations, and Unanticipated Obstacles
Published in
Technology, Knowledge and Learning, April 2013
DOI 10.1007/s10758-013-9202-4
Authors

Thomas M. Philip, Sarah Schuler-Brown, Winmar Way

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 120 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Student > Master 16 13%
Student > Doctoral Student 15 12%
Researcher 14 12%
Student > Bachelor 9 7%
Other 20 17%
Unknown 18 15%
Readers by discipline Count As %
Social Sciences 45 37%
Computer Science 19 16%
Business, Management and Accounting 9 7%
Psychology 6 5%
Engineering 5 4%
Other 14 12%
Unknown 23 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from Technology, Knowledge and Learning
#219
of 292 outputs
Outputs of similar age
#120,473
of 194,081 outputs
Outputs of similar age from Technology, Knowledge and Learning
#3
of 5 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 292 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.