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Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time

Overview of attention for article published in IEEE Transactions on Automation Science and Engineering, January 2011
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8 patents

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48 Mendeley
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Article details
Title
Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time
Published in
IEEE Transactions on Automation Science and Engineering, January 2011
DOI 10.1109/tase.2010.2040999
Authors

Chung-Jen Kuo, Chen-Fu Chien, Jan-Daw Chen

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Philippines 1 2%
Malaysia 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 7 15%
Student > Bachelor 7 15%
Student > Master 7 15%
Researcher 6 13%
Student > Ph. D. Student 5 10%
Other 10 21%
Unknown 6 13%
Readers by discipline
Readers by discipline Count As %
Engineering 30 63%
Business, Management and Accounting 5 10%
Computer Science 2 4%
Decision Sciences 2 4%
Environmental Science 1 2%
Other 0 0%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 April 2025.
All research outputs
#7,730,464
of 23,509,982 outputs
Outputs from IEEE Transactions on Automation Science and Engineering
#91
of 333 outputs
Outputs of similar age
#55,419
of 183,714 outputs
Outputs of similar age from IEEE Transactions on Automation Science and Engineering
#3
of 10 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 333 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 21st percentile – i.e., 21% 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 183,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 7 of them.