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Log-Linear Model and Multistate Model to Assess the Rate of Fibrosis in Patients With NAFLD

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, June 2022
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1 X user

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2 Mendeley
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Title
Log-Linear Model and Multistate Model to Assess the Rate of Fibrosis in Patients With NAFLD
Published in
Frontiers in Applied Mathematics and Statistics, June 2022
DOI 10.3389/fams.2022.899247
Authors

Iman M. Attia

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 50%
Unknown 1 50%
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 22 June 2022.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#263
of 338 outputs
Outputs of similar age
#329,253
of 411,146 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#4
of 10 outputs
Altmetric has tracked 22,721,584 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 338 research outputs from this source. They receive a mean Attention Score of 3.2. 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 411,146 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.