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iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module

Overview of attention for article published in Frontiers in Genetics, March 2023
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1 X user

Citations

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Title
iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module
Published in
Frontiers in Genetics, March 2023
DOI 10.3389/fgene.2023.1132018
Pubmed ID
Authors

Jianhua Jia, Rufeng Lei, Lulu Qin, Genqiang Wu, Xin Wei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
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 01 March 2023.
All research outputs
#20,846,788
of 23,462,326 outputs
Outputs from Frontiers in Genetics
#8,986
of 12,495 outputs
Outputs of similar age
#259,824
of 332,226 outputs
Outputs of similar age from Frontiers in Genetics
#259
of 526 outputs
Altmetric has tracked 23,462,326 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 12,495 research outputs from this source. They receive a mean Attention Score of 3.7. 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 332,226 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 526 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.