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Diabetes and Nonalcoholic Fatty Liver Disease: A Pathogenic Duo

Overview of attention for article published in Endocrine Reviews, December 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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41 X users
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6 patents

Citations

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193 Dimensions

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166 Mendeley
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Title
Diabetes and Nonalcoholic Fatty Liver Disease: A Pathogenic Duo
Published in
Endocrine Reviews, December 2012
DOI 10.1210/er.2012-1009
Pubmed ID
Authors

K. H. Williams, N. A. Shackel, M. D. Gorrell, S. V. McLennan, S. M. Twigg

Abstract

Recent data increasingly support a complex interplay between the metabolic condition diabetes mellitus and the pathologically defined nonalcoholic fatty liver disease (NAFLD). NAFLD predicts the development of type 2 diabetes and vice versa, and each condition may serve as a progression factor for the other. Although the association of diabetes and NAFLD is likely to be partly the result of a "common soil," it is also probable that diabetes interacts with NAFLD through specific pathogenic mechanisms. In particular, through interrelated metabolic pathways currently only partly understood, diabetes appears to accelerate the progression of NAFLD to nonalcoholic steatohepatitis, defined by the presence of necroinflammation, with varying degrees of liver fibrosis. In the research setting, obstacles that have made the identification of clinically significant NAFLD, and particularly nonalcoholic steatohepatitis, difficult are being addressed with the use of new imaging techniques combined with risk algorithms derived from peripheral blood profiling. These techniques are likely to be used in the diabetes population in the near future. This review examines the pathogenic links between NAFLD and diabetes by exploring the epidemiological evidence in humans and also through newer animal models. Emerging technology to help screen noninvasively for differing pathological forms of NAFLD and the potential role of preventive and therapeutic approaches for NAFLD in the setting of diabetes are also examined.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 163 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 16%
Student > Master 23 14%
Student > Ph. D. Student 17 10%
Student > Postgraduate 17 10%
Student > Bachelor 16 10%
Other 31 19%
Unknown 35 21%
Readers by discipline Count As %
Medicine and Dentistry 64 39%
Biochemistry, Genetics and Molecular Biology 19 11%
Agricultural and Biological Sciences 9 5%
Nursing and Health Professions 6 4%
Chemistry 4 2%
Other 16 10%
Unknown 48 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 06 January 2022.
All research outputs
#1,389,007
of 25,718,113 outputs
Outputs from Endocrine Reviews
#164
of 1,253 outputs
Outputs of similar age
#11,265
of 288,147 outputs
Outputs of similar age from Endocrine Reviews
#2
of 5 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,253 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done well, scoring higher than 86% 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 288,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.