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Unbalanced Triangle Detection and Enumeration Hardness for Unions of Conjunctive Queries

Overview of attention for article published in Logical Methods in Computer Science (LMCS), March 2025
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Article details
Title
Unbalanced Triangle Detection and Enumeration Hardness for Unions of Conjunctive Queries
Published in
Logical Methods in Computer Science (LMCS), March 2025
DOI 10.46298/lmcs-21(1:29)2025
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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 27 March 2025.
All research outputs
#24,776,569
of 34,391,611 outputs
Outputs from Logical Methods in Computer Science (LMCS)
#419
of 1,195 outputs
Outputs of similar age
#199,961
of 360,295 outputs
Outputs of similar age from Logical Methods in Computer Science (LMCS)
#8
of 24 outputs
Altmetric has tracked 34,391,611 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,195 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 56% 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 360,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.