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Industrial applications of a modular software architecture for line-less assembly systems based on interoperable digital twins

Overview of attention for article published in Frontiers in Mechanical Engineering, February 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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24 Mendeley
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Title
Industrial applications of a modular software architecture for line-less assembly systems based on interoperable digital twins
Published in
Frontiers in Mechanical Engineering, February 2023
DOI 10.3389/fmech.2023.1113933
Authors

Julius B. Mathews, Jonas Rachner, Lea Kaven, Dennis Grunert, Amon Göppert, Robert H. Schmitt

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Doctoral Student 2 8%
Researcher 1 4%
Unspecified 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 16 67%
Readers by discipline Count As %
Engineering 5 21%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Unknown 17 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 February 2023.
All research outputs
#18,925,846
of 23,454,152 outputs
Outputs from Frontiers in Mechanical Engineering
#257
of 519 outputs
Outputs of similar age
#220,805
of 328,763 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#8
of 24 outputs
Altmetric has tracked 23,454,152 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 519 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 328,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.