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Editorial: Computational Methods for Analysis of DNA Methylation Data

Overview of attention for article published in Frontiers in Bioinformatics, June 2022
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Title
Editorial: Computational Methods for Analysis of DNA Methylation Data
Published in
Frontiers in Bioinformatics, June 2022
DOI 10.3389/fbinf.2022.926066
Pubmed ID
Authors

Pietro Di Lena, Christine Nardini, Matteo Pellegrini

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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 23 June 2022.
All research outputs
#16,505,702
of 26,491,397 outputs
Outputs from Frontiers in Bioinformatics
#214
of 354 outputs
Outputs of similar age
#222,636
of 450,005 outputs
Outputs of similar age from Frontiers in Bioinformatics
#28
of 38 outputs
Altmetric has tracked 26,491,397 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 354 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 450,005 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 38 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.