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On atomic cliques in temporal graphs

Overview of attention for article published in Optimization Letters, February 2023
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  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
On atomic cliques in temporal graphs
Published in
Optimization Letters, February 2023
DOI 10.1007/s11590-023-01975-0
Authors

Yajun Lu, Zhuqi Miao, Parisa Sahraeian, Balabhaskar Balasundaram

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 February 2023.
All research outputs
#15,153,715
of 23,306,612 outputs
Outputs from Optimization Letters
#62
of 472 outputs
Outputs of similar age
#160,484
of 336,430 outputs
Outputs of similar age from Optimization Letters
#2
of 31 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 472 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done well, scoring higher than 84% 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 336,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.