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Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications

Overview of attention for article published in Frontiers in Cell and Developmental Biology, July 2021
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Title
Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications
Published in
Frontiers in Cell and Developmental Biology, July 2021
DOI 10.3389/fcell.2021.728127
Pubmed ID
Authors

Yu Xue, Hsien-Da Huang, Jiangning Song, Jian Ren, Dong Xu

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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 14 July 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,229
of 9,293 outputs
Outputs of similar age
#359,662
of 436,461 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#675
of 1,039 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 436,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,039 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.