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Spatio-temporal ecological models via physics-informed neural networks for studying chronic wasting disease

Overview of attention for article published in Spatial Statistics, August 2024
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  • Good Attention Score compared to outputs of the same age (66th percentile)

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Title
Spatio-temporal ecological models via physics-informed neural networks for studying chronic wasting disease
Published in
Spatial Statistics, August 2024
DOI 10.1016/j.spasta.2024.100850
Authors

Juan Francisco Mandujano Reyes, Ting Fung, Ian P. McGahan, Daniel J. Storm, Daniel P. Walsh, Jun Zhu

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 July 2024.
All research outputs
#15,264,826
of 26,393,590 outputs
Outputs from Spatial Statistics
#65
of 176 outputs
Outputs of similar age
#44,583
of 131,823 outputs
Outputs of similar age from Spatial Statistics
#1
of 1 outputs
Altmetric has tracked 26,393,590 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 61% 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 131,823 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them