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A continuous characterization of PSPACE using polynomial ordinary differential equations

Overview of attention for article published in Journal of Complexity, August 2023
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  • Among the highest-scoring outputs from this source (#18 of 169)
  • Good Attention Score compared to outputs of the same age (67th percentile)

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Title
A continuous characterization of PSPACE using polynomial ordinary differential equations
Published in
Journal of Complexity, August 2023
DOI 10.1016/j.jco.2023.101755
Authors

Olivier Bournez, Riccardo Gozzi, Daniel S. Graça, Amaury Pouly

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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 02 April 2023.
All research outputs
#7,857,016
of 25,394,764 outputs
Outputs from Journal of Complexity
#18
of 169 outputs
Outputs of similar age
#116,469
of 358,370 outputs
Outputs of similar age from Journal of Complexity
#1
of 2 outputs
Altmetric has tracked 25,394,764 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 169 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 89% 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 358,370 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 67% of its contemporaries.
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. This one has scored higher than all of them