↓ Skip to main content

Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicine

Overview of attention for article published in Frontiers in Pharmacology, December 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 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.
Title
Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicine
Published in
Frontiers in Pharmacology, December 2022
DOI 10.3389/fphar.2022.1079566
Pubmed ID
Authors

Jun Huang, Chunbei Zhao, Xinhe Zhang, Qiaohui Zhao, Yanting Zhang, Liping Chen, Guifu Dai

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 27%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Student > Ph. D. Student 1 4%
Student > Master 1 4%
Other 2 8%
Unknown 13 50%
Readers by discipline Count As %
Unspecified 7 27%
Medicine and Dentistry 2 8%
Computer Science 2 8%
Business, Management and Accounting 1 4%
Unknown 14 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 December 2022.
All research outputs
#13,173,409
of 23,567,572 outputs
Outputs from Frontiers in Pharmacology
#3,664
of 17,186 outputs
Outputs of similar age
#154,884
of 449,174 outputs
Outputs of similar age from Frontiers in Pharmacology
#115
of 1,060 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 449,174 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 65% of its contemporaries.
We're also able to compare this research output to 1,060 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.