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The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

Overview of attention for article published in Lipids in Health and Disease, October 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
8 Mendeley
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Title
The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
Published in
Lipids in Health and Disease, October 2021
DOI 10.1186/s12944-021-01561-2
Pubmed ID
Authors

Guotai Sheng, Song Lu, Qiyang Xie, Nan Peng, Maobin Kuang, Yang Zou

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

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.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Researcher 2 25%
Student > Bachelor 1 13%
Unknown 3 38%
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Arts and Humanities 1 13%
Unknown 3 38%

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 13 October 2021.
All research outputs
#13,871,742
of 20,765,300 outputs
Outputs from Lipids in Health and Disease
#735
of 1,354 outputs
Outputs of similar age
#200,423
of 347,485 outputs
Outputs of similar age from Lipids in Health and Disease
#1
of 1 outputs
Altmetric has tracked 20,765,300 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 38th percentile – i.e., 38% 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 347,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them