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Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants

Overview of attention for article published in Integrating Materials and Manufacturing Innovation, April 2024
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2 X users

Citations

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4 Dimensions

Readers on

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2 Mendeley
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Title
Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants
Published in
Integrating Materials and Manufacturing Innovation, April 2024
DOI 10.1007/s40192-024-00351-9
Authors

Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Physics and Astronomy 1 50%
Chemistry 1 50%
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 May 2024.
All research outputs
#21,077,210
of 25,887,951 outputs
Outputs from Integrating Materials and Manufacturing Innovation
#53
of 69 outputs
Outputs of similar age
#155,033
of 231,153 outputs
Outputs of similar age from Integrating Materials and Manufacturing Innovation
#2
of 2 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 69 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 5th percentile – i.e., 5% 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 231,153 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.