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In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review

Overview of attention for article published in Journal of Manufacturing Systems, June 2024
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1 X user

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9 Mendeley
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Title
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review
Published in
Journal of Manufacturing Systems, June 2024
DOI 10.1016/j.jmsy.2024.04.013
Authors

Lequn Chen, Guijun Bi, Xiling Yao, Jinlong Su, Chaolin Tan, Wenhe Feng, Michalis Benakis, Youxiang Chew, Seung Ki Moon

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 %
Unspecified 8 89%
Student > Ph. D. Student 1 11%
Readers by discipline Count As %
Unspecified 8 89%
Engineering 1 11%
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 23 April 2024.
All research outputs
#23,154,856
of 25,806,763 outputs
Outputs from Journal of Manufacturing Systems
#309
of 329 outputs
Outputs of similar age
#26,205
of 33,307 outputs
Outputs of similar age from Journal of Manufacturing Systems
#2
of 2 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.4. 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 33,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.