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A holistic approach to visualizing business models for the internet of things

Overview of attention for article published in MUX: the Journal of Mobile User Experience, September 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
207 Mendeley
Title
A holistic approach to visualizing business models for the internet of things
Published in
MUX: the Journal of Mobile User Experience, September 2012
DOI 10.1186/2192-1121-1-4
Authors

Yunchuan Sun, Hongli Yan, Cheng Lu, Rongfang Bie, Peter Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
India 1 <1%
Germany 1 <1%
Unknown 204 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 30%
Student > Bachelor 37 18%
Student > Ph. D. Student 21 10%
Student > Doctoral Student 12 6%
Lecturer 8 4%
Other 28 14%
Unknown 39 19%
Readers by discipline Count As %
Business, Management and Accounting 62 30%
Computer Science 31 15%
Engineering 29 14%
Social Sciences 26 13%
Economics, Econometrics and Finance 4 2%
Other 9 4%
Unknown 46 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 April 2016.
All research outputs
#8,270,860
of 25,394,764 outputs
Outputs from MUX: the Journal of Mobile User Experience
#3
of 9 outputs
Outputs of similar age
#61,608
of 187,263 outputs
Outputs of similar age from MUX: the Journal of Mobile User Experience
#1
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 6 of them.
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 187,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them