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Unleashing the power of decentralized serverless IoT dataflow architecture for the Cloud-to-Edge Continuum: a performance comparison

Overview of attention for article published in Annals of Telecommunications, January 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 165)
  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
4 X users

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Unleashing the power of decentralized serverless IoT dataflow architecture for the Cloud-to-Edge Continuum: a performance comparison
Published in
Annals of Telecommunications, January 2024
DOI 10.1007/s12243-023-01009-x
Authors

Juan José López Escobar, Rebeca P. Díaz-Redondo, Felipe Gil-Castiñeira

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 January 2024.
All research outputs
#8,321,096
of 25,171,741 outputs
Outputs from Annals of Telecommunications
#35
of 165 outputs
Outputs of similar age
#56,363
of 184,561 outputs
Outputs of similar age from Annals of Telecommunications
#2
of 2 outputs
Altmetric has tracked 25,171,741 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 165 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% 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 184,561 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 69% of its contemporaries.
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.