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Modeling gene content across a phylogeny to determine when genes become associated

Overview of attention for article published in Stochastic Models, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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Title
Modeling gene content across a phylogeny to determine when genes become associated
Published in
Stochastic Models, March 2024
DOI 10.1080/15326349.2024.2330082
Authors

J. Diao, M. M. O’Reilly, B. R. Holland

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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 12 May 2024.
All research outputs
#16,088,032
of 25,890,819 outputs
Outputs from Stochastic Models
#35
of 76 outputs
Outputs of similar age
#137,071
of 318,800 outputs
Outputs of similar age from Stochastic Models
#1
of 2 outputs
Altmetric has tracked 25,890,819 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 76 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 52% 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 318,800 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 55% 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