↓ Skip to main content

Smart Infrastructures: Artificial Intelligence-Enabled Lifecycle Automation

Overview of attention for article published in IEEE Industrial Electronics Magazine, May 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 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.
Title
Smart Infrastructures: Artificial Intelligence-Enabled Lifecycle Automation
Published in
IEEE Industrial Electronics Magazine, May 2022
DOI 10.1109/mie.2022.3165673
Authors

Carolina Fortuna, Halil Yetgin, Mihael Mohori

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Researcher 1 8%
Student > Doctoral Student 1 8%
Unknown 9 75%
Readers by discipline Count As %
Unspecified 1 8%
Computer Science 1 8%
Social Sciences 1 8%
Unknown 9 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 May 2022.
All research outputs
#14,798,870
of 25,392,582 outputs
Outputs from IEEE Industrial Electronics Magazine
#119
of 138 outputs
Outputs of similar age
#194,469
of 446,173 outputs
Outputs of similar age from IEEE Industrial Electronics Magazine
#3
of 3 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 138 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 13th percentile – i.e., 13% 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 446,173 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.