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MAFLD Criteria Guide the Subtyping of Patients with Fatty Liver Disease

Overview of attention for article published in Risk Management and Healthcare Policy, February 2021
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Mentioned by

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2 X users

Citations

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34 Dimensions

Readers on

mendeley
73 Mendeley
Title
MAFLD Criteria Guide the Subtyping of Patients with Fatty Liver Disease
Published in
Risk Management and Healthcare Policy, February 2021
DOI 10.2147/rmhp.s285880
Pubmed ID
Authors

Jiaofeng Huang, Weijie Ou, Mingfang Wang, Medha Singh, Yuxiu Liu, Shiying Liu, Yinlian Wu, Yueyong Zhu, Rahul Kumar, Su Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 8%
Other 5 7%
Student > Ph. D. Student 4 5%
Student > Bachelor 3 4%
Unspecified 3 4%
Other 12 16%
Unknown 40 55%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Nursing and Health Professions 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Unspecified 2 3%
Other 6 8%
Unknown 40 55%
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 28 August 2021.
All research outputs
#18,122,551
of 23,278,709 outputs
Outputs from Risk Management and Healthcare Policy
#458
of 646 outputs
Outputs of similar age
#358,717
of 505,375 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#40
of 56 outputs
Altmetric has tracked 23,278,709 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. 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 505,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.