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Machine Learning for Additive Manufacturing of Functionally Graded Materials

Overview of attention for article published in Materials, July 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
107 Mendeley
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Article details
Title
Machine Learning for Additive Manufacturing of Functionally Graded Materials
Published in
Materials, July 2024
DOI 10.3390/ma17153673
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 107 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 %
Unknown 107 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 8%
Student > Master 8 7%
Other 6 6%
Student > Ph. D. Student 6 6%
Unspecified 5 5%
Other 20 19%
Unknown 53 50%
Readers by discipline
Readers by discipline Count As %
Engineering 34 32%
Materials Science 7 7%
Unspecified 5 5%
Design 2 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 5 5%
Unknown 53 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 March 2026.
All research outputs
#11,982,413
of 34,528,520 outputs
Outputs from Materials
#2,662
of 14,792 outputs
Outputs of similar age
#110,788
of 341,258 outputs
Outputs of similar age from Materials
#30
of 240 outputs
Altmetric has tracked 34,528,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 14,792 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 80% 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 341,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.