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Machine learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications

Overview of attention for article published in Journal of Magnesium and Alloys, June 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 386)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
7 Mendeley
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Title
Machine learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications
Published in
Journal of Magnesium and Alloys, June 2024
DOI 10.1016/j.jma.2024.06.008
Authors

Sreenivas Raguraman, Maitreyee Sharma Priyadarshini, Tram Nguyen, Ryan McGovern, Andrew Kim, Adam J. Griebel, Paulette Clancy, Timothy P. Weihs

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 71%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Readers by discipline Count As %
Unspecified 5 71%
Materials Science 1 14%
Engineering 1 14%
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 03 July 2024.
All research outputs
#8,177,963
of 26,237,895 outputs
Outputs from Journal of Magnesium and Alloys
#23
of 386 outputs
Outputs of similar age
#74,991
of 257,060 outputs
Outputs of similar age from Journal of Magnesium and Alloys
#2
of 3 outputs
Altmetric has tracked 26,237,895 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 386 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 94% 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 257,060 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 70% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.