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A new teaching approach exploiting lab-scale models of manufacturing systems for simulation classes

Overview of attention for article published in Journal of Simulation, February 2023
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  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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2 X users

Readers on

mendeley
11 Mendeley
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Title
A new teaching approach exploiting lab-scale models of manufacturing systems for simulation classes
Published in
Journal of Simulation, February 2023
DOI 10.1080/17477778.2023.2174458
Authors

Giovanni Lugaresi, Nicla Frigerio, Ziwei Lin, Mengyi Zhang, Andrea Matta

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 9%
Professor 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Unknown 7 64%
Readers by discipline Count As %
Engineering 3 27%
Unspecified 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 April 2023.
All research outputs
#15,257,240
of 23,454,152 outputs
Outputs from Journal of Simulation
#73
of 150 outputs
Outputs of similar age
#202,124
of 416,069 outputs
Outputs of similar age from Journal of Simulation
#1
of 10 outputs
Altmetric has tracked 23,454,152 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 150 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 50% 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 416,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them