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Development and Validation of a Non-invasive Model to Predict Liver Histological Lesions in Chronic Hepatitis B Patients With Persistently Normal Alanine Aminotransferase and Detectable Viremia

Overview of attention for article published in Frontiers in Medicine, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Development and Validation of a Non-invasive Model to Predict Liver Histological Lesions in Chronic Hepatitis B Patients With Persistently Normal Alanine Aminotransferase and Detectable Viremia
Published in
Frontiers in Medicine, July 2022
DOI 10.3389/fmed.2022.944547
Pubmed ID
Authors

Qiankun Hu, Qianqian Wang, Wei Xu, Chenlu Huang, Shuai Tao, Xun Qi, Yi Zhang, Xinyan Li, Xuhua Jiang, Jie Song, Qiang Li, Liang Chen, Yuxian Huang

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
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 August 2022.
All research outputs
#16,417,844
of 24,185,663 outputs
Outputs from Frontiers in Medicine
#3,461
of 6,492 outputs
Outputs of similar age
#246,581
of 423,594 outputs
Outputs of similar age from Frontiers in Medicine
#289
of 568 outputs
Altmetric has tracked 24,185,663 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 35th percentile – i.e., 35% 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 423,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 568 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.