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Opportunistic Digital Twin: an Edge Intelligence enabler for Smart City

Overview of attention for article published in ACM Transactions on Sensor Networks, August 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Opportunistic Digital Twin: an Edge Intelligence enabler for Smart City
Published in
ACM Transactions on Sensor Networks, August 2023
DOI 10.1145/3616014
Authors

Claudio Savaglio, Vincenzo Barbuto, Faraz Malik Awan, Roberto Minerva, Noel Crespi, Giancarlo Fortino

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 25%
Student > Postgraduate 1 13%
Unknown 5 63%
Readers by discipline Count As %
Nursing and Health Professions 1 13%
Computer Science 1 13%
Engineering 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 August 2023.
All research outputs
#17,609,126
of 25,813,008 outputs
Outputs from ACM Transactions on Sensor Networks
#144
of 188 outputs
Outputs of similar age
#202,587
of 359,916 outputs
Outputs of similar age from ACM Transactions on Sensor Networks
#1
of 2 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 359,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
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