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A survey on smartphone-based systems for opportunistic user context recognition

Overview of attention for article published in ACM Computing Surveys, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
1 X user
patent
12 patents

Readers on

mendeley
306 Mendeley
citeulike
3 CiteULike
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Article details
Title
A survey on smartphone-based systems for opportunistic user context recognition
Published in
ACM Computing Surveys, July 2013
DOI 10.1145/2480741.2480744
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 profile of 1 X user 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 306 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 %
Brazil 5 2%
United Kingdom 5 2%
Germany 4 1%
United States 3 <1%
Portugal 3 <1%
Netherlands 3 <1%
India 3 <1%
Spain 2 <1%
Indonesia 2 <1%
Other 16 5%
Unknown 260 85%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 85 28%
Student > Master 66 22%
Researcher 30 10%
Student > Bachelor 23 8%
Student > Doctoral Student 20 7%
Other 54 18%
Unknown 28 9%
Readers by discipline
Readers by discipline Count As %
Computer Science 196 64%
Engineering 33 11%
Social Sciences 11 4%
Psychology 5 2%
Business, Management and Accounting 4 1%
Other 19 6%
Unknown 38 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 July 2022.
All research outputs
#3,512,105
of 34,447,360 outputs
Outputs from ACM Computing Surveys
#312
of 1,960 outputs
Outputs of similar age
#25,596
of 240,116 outputs
Outputs of similar age from ACM Computing Surveys
#3
of 19 outputs
Altmetric has tracked 34,447,360 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 83% of its peers.
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 240,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.