↓ Skip to main content

Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications

Overview of attention for article published in IEEE Access, February 2021
Altmetric Badge

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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
7 patents

Readers on

mendeley
121 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications
Published in
IEEE Access, February 2021
DOI 10.1109/access.2021.3061890
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 7%
Student > Ph. D. Student 8 7%
Unspecified 6 5%
Lecturer 6 5%
Student > Doctoral Student 3 2%
Other 8 7%
Unknown 81 67%
Readers by discipline
Readers by discipline Count As %
Computer Science 27 22%
Unspecified 6 5%
Engineering 6 5%
Unknown 82 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 September 2026.
All research outputs
#5,037,948
of 33,992,632 outputs
Outputs from IEEE Access
#1,356
of 24,251 outputs
Outputs of similar age
#98,768
of 478,672 outputs
Outputs of similar age from IEEE Access
#52
of 1,083 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,251 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 91% 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 478,672 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 79% of its contemporaries.
We're also able to compare this research output to 1,083 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.