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Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data

Overview of attention for article published in Frontiers in Microbiomes, June 2024
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Title
Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data
Published in
Frontiers in Microbiomes, June 2024
DOI 10.3389/frmbi.2024.1366948
Authors

Jie Zhou, Jiang Gui, Weston D. Viles, Haobin Chen, Siting Li, Juliette C. Madan, Modupe O. Coker, Anne G. Hoen

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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 03 June 2024.
All research outputs
#20,500,409
of 26,063,110 outputs
Outputs from Frontiers in Microbiomes
#29
of 34 outputs
Outputs of similar age
#90,331
of 145,535 outputs
Outputs of similar age from Frontiers in Microbiomes
#4
of 4 outputs
Altmetric has tracked 26,063,110 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 34 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one scored the same or higher as 5 of them.
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 145,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.