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Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications

Overview of attention for article published in IEEE Access, February 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Readers on

mendeley
109 Mendeley
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Article details
Title
Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications
Published in
IEEE Access, February 2018
DOI 10.1109/access.2018.2804623
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 profiles of 3 X users 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 109 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 %
Unknown 109 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 17%
Student > Master 14 13%
Student > Bachelor 10 9%
Researcher 8 7%
Lecturer 7 6%
Other 15 14%
Unknown 36 33%
Readers by discipline
Readers by discipline Count As %
Computer Science 37 34%
Engineering 20 18%
Business, Management and Accounting 4 4%
Social Sciences 2 2%
Environmental Science 1 <1%
Other 3 3%
Unknown 42 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 January 2023.
All research outputs
#7,499,926
of 29,313,434 outputs
Outputs from IEEE Access
#3,005
of 13,380 outputs
Outputs of similar age
#123,180
of 463,904 outputs
Outputs of similar age from IEEE Access
#71
of 234 outputs
Altmetric has tracked 29,313,434 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,380 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 463,904 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 73% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.