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Developing Self-Adaptive Microservice Systems: Challenges and Directions

Overview of attention for article published in IEEE Software, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
wikipedia
4 Wikipedia pages

Readers on

mendeley
126 Mendeley
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Article details
Title
Developing Self-Adaptive Microservice Systems: Challenges and Directions
Published in
IEEE Software, January 2021
DOI 10.1109/ms.2019.2955937
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Student > Master 23 18%
Student > Bachelor 12 10%
Researcher 8 6%
Student > Doctoral Student 5 4%
Other 6 5%
Unknown 46 37%
Readers by discipline
Readers by discipline Count As %
Computer Science 64 51%
Engineering 6 5%
Business, Management and Accounting 4 3%
Social Sciences 1 <1%
Unknown 51 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 August 2025.
All research outputs
#3,231,140
of 33,992,632 outputs
Outputs from IEEE Software
#58
of 1,368 outputs
Outputs of similar age
#68,286
of 571,281 outputs
Outputs of similar age from IEEE Software
#5
of 37 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,368 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 571,281 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 87% of its contemporaries.
We're also able to compare this research output to 37 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.