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Developing parametric design fashion products using 3D printing technology

Overview of attention for article published in Fashion and Textiles, June 2021
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Mentioned by

twitter
1 X user

Citations

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22 Dimensions

Readers on

mendeley
70 Mendeley
Title
Developing parametric design fashion products using 3D printing technology
Published in
Fashion and Textiles, June 2021
DOI 10.1186/s40691-021-00247-8
Authors

Jiwoon Jeong, Hyein Park, Yoojeong Lee, Jihye Kang, Jaehoon Chun

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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 6 9%
Student > Ph. D. Student 5 7%
Student > Master 4 6%
Student > Doctoral Student 4 6%
Professor 2 3%
Other 8 11%
Unknown 41 59%
Readers by discipline Count As %
Engineering 13 19%
Design 8 11%
Arts and Humanities 4 6%
Business, Management and Accounting 1 1%
Chemical Engineering 1 1%
Other 2 3%
Unknown 41 59%
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 08 June 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Fashion and Textiles
#80
of 169 outputs
Outputs of similar age
#368,522
of 447,775 outputs
Outputs of similar age from Fashion and Textiles
#5
of 11 outputs
Altmetric has tracked 23,308,124 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 169 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 447,775 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.