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Predicting incident fatty liver using simple cardio-metabolic risk factors at baseline

Overview of attention for article published in BMC Gastroenterology, July 2012
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Title
Predicting incident fatty liver using simple cardio-metabolic risk factors at baseline
Published in
BMC Gastroenterology, July 2012
DOI 10.1186/1471-230x-12-84
Pubmed ID
Authors

Ki-Chul Sung, Bum-Soo Kim, Yong-Kyun Cho, Dong-il Park, Sookyoung Woo, Seonwoo Kim, Sarah H Wild, Christopher D Byrne

Abstract

Non alcoholic fatty liver disease (NAFLD) is associated with increased risk of type 2 diabetes and chronic liver disease but identifying patients who have NAFLD without resorting to expensive imaging tests is challenging. In order to help identify people for imaging investigation of the liver who are at high risk of NAFLD, our aim was to: a) identify easily measured risk factors at baseline that were independently associated with incident fatty liver at follow up, and then b) to test the diagnostic performance of thresholds of these factors at baseline, to predict or to exclude incident fatty liver at follow up.

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Student > Master 4 10%
Student > Bachelor 4 10%
Researcher 3 8%
Other 3 8%
Other 5 13%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 2 5%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 5 13%
Unknown 15 38%
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 08 July 2012.
All research outputs
#15,246,403
of 22,669,724 outputs
Outputs from BMC Gastroenterology
#827
of 1,724 outputs
Outputs of similar age
#104,897
of 164,297 outputs
Outputs of similar age from BMC Gastroenterology
#24
of 40 outputs
Altmetric has tracked 22,669,724 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 1,724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 39th percentile – i.e., 39% 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 164,297 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 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.