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PreCount: a predictive model for correcting real-time occupancy count data

Overview of attention for article published in Energy Informatics, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
PreCount: a predictive model for correcting real-time occupancy count data
Published in
Energy Informatics, August 2018
DOI 10.1186/s42162-018-0016-4
Authors

Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Bachelor 3 23%
Student > Postgraduate 2 15%
Researcher 2 15%
Other 1 8%
Other 1 8%
Readers by discipline Count As %
Computer Science 7 54%
Energy 3 23%
Arts and Humanities 1 8%
Engineering 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 January 2023.
All research outputs
#7,722,539
of 23,485,296 outputs
Outputs from Energy Informatics
#15
of 61 outputs
Outputs of similar age
#132,334
of 335,180 outputs
Outputs of similar age from Energy Informatics
#5
of 12 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 72% 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 335,180 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 53% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.