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Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective

Overview of attention for article published in Journal of Materials Science, January 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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21 Dimensions

Readers on

mendeley
65 Mendeley
Title
Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective
Published in
Journal of Materials Science, January 2017
DOI 10.1007/s10853-017-0753-y
Authors

Hang Z. Yu, Samuel R. Cross, Christopher A. Schuh

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 10 15%
Student > Master 10 15%
Student > Doctoral Student 4 6%
Professor 4 6%
Other 11 17%
Unknown 14 22%
Readers by discipline Count As %
Engineering 18 28%
Materials Science 17 26%
Unspecified 2 3%
Environmental Science 1 2%
Computer Science 1 2%
Other 3 5%
Unknown 23 35%
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 18 February 2017.
All research outputs
#17,876,644
of 22,955,959 outputs
Outputs from Journal of Materials Science
#3,930
of 4,629 outputs
Outputs of similar age
#294,990
of 422,194 outputs
Outputs of similar age from Journal of Materials Science
#32
of 52 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,629 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 14th percentile – i.e., 14% 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 422,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.