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iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network

Overview of attention for article published in Frontiers in Microbiology, November 2022
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1 X user

Readers on

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8 Mendeley
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Title
iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network
Published in
Frontiers in Microbiology, November 2022
DOI 10.3389/fmicb.2022.1061122
Pubmed ID
Authors

Muhammad Shujaat, Joe Sung Jin, Hilal Tayara, Kil To Chong

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Unspecified 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Unspecified 1 13%
Computer Science 1 13%
Immunology and Microbiology 1 13%
Unknown 2 25%
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 21 November 2022.
All research outputs
#22,267,012
of 24,849,927 outputs
Outputs from Frontiers in Microbiology
#25,991
of 28,368 outputs
Outputs of similar age
#368,315
of 435,264 outputs
Outputs of similar age from Frontiers in Microbiology
#1,250
of 1,297 outputs
Altmetric has tracked 24,849,927 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 28,368 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. 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 435,264 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 1,297 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.