↓ Skip to main content

Smith ideals of operadic algebras in monoidal model categories

Overview of attention for article published in Algebraic and Geometric Topology, March 2024
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 1,000)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
9 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Smith ideals of operadic algebras in monoidal model categories
Published in
Algebraic and Geometric Topology, March 2024
DOI 10.2140/agt.2024.24.341
Authors

David White, Donald Yau

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 March 2023.
All research outputs
#7,293,071
of 25,628,260 outputs
Outputs from Algebraic and Geometric Topology
#37
of 1,000 outputs
Outputs of similar age
#56,825
of 207,418 outputs
Outputs of similar age from Algebraic and Geometric Topology
#2
of 15 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,000 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 96% 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 207,418 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 72% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.