↓ Skip to main content

Decoding the interconnected splicing patterns of hepatitis B virus and host using large language and deep learning models

Overview of attention for article published in Microbial Genomics, January 2026
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
bluesky
4 Bluesky users

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Decoding the interconnected splicing patterns of hepatitis B virus and host using large language and deep learning models
Published in
Microbial Genomics, January 2026
DOI 10.1099/mgen.0.001616
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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.
Mendeley demographics

Mendeley demographics

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.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Librarian 3 38%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 25%
Psychology 2 25%
Unknown 4 50%
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 06 February 2026.
All research outputs
#22,287,605
of 34,324,933 outputs
Outputs from Microbial Genomics
#1,074
of 1,476 outputs
Outputs of similar age
#131,582
of 372,311 outputs
Outputs of similar age from Microbial Genomics
#30
of 55 outputs
Altmetric has tracked 34,324,933 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 25th percentile – i.e., 25% 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 372,311 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 62% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.