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Designing a Multi-Agent PLM System for Threaded Connections Using the Principle of Isomorphism of Regularities of Complex Systems

Overview of attention for article published in Machines, February 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#14 of 543)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
1 X user
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Designing a Multi-Agent PLM System for Threaded Connections Using the Principle of Isomorphism of Regularities of Complex Systems
Published in
Machines, February 2023
DOI 10.3390/machines11020263
Authors

Volodymyr Kopei, Oleh Onysko, Cristian Barz, Predrag Dašić, Vitalii Panchuk

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Researcher 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 4 44%
Readers by discipline Count As %
Engineering 2 22%
Business, Management and Accounting 1 11%
Agricultural and Biological Sciences 1 11%
Computer Science 1 11%
Unknown 4 44%
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 04 June 2024.
All research outputs
#6,607,570
of 23,367,368 outputs
Outputs from Machines
#14
of 543 outputs
Outputs of similar age
#98,503
of 370,068 outputs
Outputs of similar age from Machines
#1
of 20 outputs
Altmetric has tracked 23,367,368 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done particularly well, scoring higher than 97% 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 370,068 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 73% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.