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CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence

Overview of attention for article published in Frontiers in Genetics, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
7 Mendeley
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Title
CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence
Published in
Frontiers in Genetics, October 2022
DOI 10.3389/fgene.2022.1036862
Pubmed ID
Authors

Jiaojiao Zhao, Haoqiang Jiang, Guoyang Zou, Qian Lin, Qiang Wang, Jia Liu, Leina Ma

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 43%
Professor 1 14%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Unspecified 3 43%
Chemical Engineering 1 14%
Neuroscience 1 14%
Unknown 2 29%
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 03 November 2022.
All research outputs
#14,493,503
of 23,660,057 outputs
Outputs from Frontiers in Genetics
#3,695
of 12,625 outputs
Outputs of similar age
#198,595
of 446,012 outputs
Outputs of similar age from Frontiers in Genetics
#169
of 1,069 outputs
Altmetric has tracked 23,660,057 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,625 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 446,012 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 53% of its contemporaries.
We're also able to compare this research output to 1,069 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.