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Three-Dimensional NLOS VLP Based on a Luminance Distribution Model for Image Sensor

Overview of attention for article published in IEEE Internet of Things Journal, December 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Three-Dimensional NLOS VLP Based on a Luminance Distribution Model for Image Sensor
Published in
IEEE Internet of Things Journal, December 2022
DOI 10.1109/jiot.2022.3227243
Authors

Tianming Huang, Bangjiang Lin, Zabih Ghassemlooy, Ningcong Jiang, Qiwei Lai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Master 1 14%
Unknown 5 71%
Readers by discipline Count As %
Unspecified 1 14%
Computer Science 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 March 2023.
All research outputs
#4,840,893
of 25,392,582 outputs
Outputs from IEEE Internet of Things Journal
#107
of 1,145 outputs
Outputs of similar age
#105,528
of 482,116 outputs
Outputs of similar age from IEEE Internet of Things Journal
#2
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,145 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 482,116 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 78% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.