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The development of an intelligent system for customized clothing making

Overview of attention for article published in Expert Systems with Applications, January 2010
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Mentioned by

patent
3 patents

Readers on

mendeley
55 Mendeley
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Article details
Title
The development of an intelligent system for customized clothing making
Published in
Expert Systems with Applications, January 2010
DOI 10.1016/j.eswa.2009.05.089
Authors

Jun-Ming Lu, Mao-Jiun J. Wang, Chien-Wen Chen, Jyi-Hua Wu

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 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 Kingdom 2 4%
United States 1 2%
Portugal 1 2%
Unknown 51 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Master 10 18%
Student > Doctoral Student 6 11%
Other 3 5%
Lecturer 2 4%
Other 6 11%
Unknown 14 25%
Readers by discipline
Readers by discipline Count As %
Engineering 13 24%
Design 9 16%
Social Sciences 4 7%
Arts and Humanities 3 5%
Computer Science 3 5%
Other 6 11%
Unknown 17 31%
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 17 February 2026.
All research outputs
#9,515,460
of 27,778,980 outputs
Outputs from Expert Systems with Applications
#820
of 4,607 outputs
Outputs of similar age
#56,327
of 185,328 outputs
Outputs of similar age from Expert Systems with Applications
#9
of 29 outputs
Altmetric has tracked 27,778,980 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,607 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 61% 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 185,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.