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A Review of Image-Based Simulation Applications in High-Value Manufacturing

Overview of attention for article published in Archives of Computational Methods in Engineering, January 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 180)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
24 Mendeley
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Title
A Review of Image-Based Simulation Applications in High-Value Manufacturing
Published in
Archives of Computational Methods in Engineering, January 2023
DOI 10.1007/s11831-022-09836-2
Pubmed ID
Authors

Llion Marc Evans, Emrah Sözümert, Bethany E. Keenan, Charles E. Wood, Anton du Plessis

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 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 > Ph. D. Student 4 17%
Unspecified 2 8%
Student > Bachelor 1 4%
Librarian 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 14 58%
Readers by discipline Count As %
Computer Science 4 17%
Unspecified 2 8%
Arts and Humanities 1 4%
Physics and Astronomy 1 4%
Engineering 1 4%
Other 0 0%
Unknown 15 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 January 2023.
All research outputs
#6,606,344
of 24,586,986 outputs
Outputs from Archives of Computational Methods in Engineering
#26
of 180 outputs
Outputs of similar age
#117,768
of 451,559 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#2
of 5 outputs
Altmetric has tracked 24,586,986 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 180 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 85% 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 451,559 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.