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Glycated albumin: a potential biomarker in diabetes

Overview of attention for article published in Archives of Endocrinology and Metabolism, January 2017
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Title
Glycated albumin: a potential biomarker in diabetes
Published in
Archives of Endocrinology and Metabolism, January 2017
DOI 10.1590/2359-3997000000272
Pubmed ID
Authors

Priscila Aparecida Correa Freitas, Lethicia Rozales Ehlert, Joíza Lins Camargo

Abstract

Diabetes mellitus (DM) is a chronic and metabolic disease that presents a high global incidence. Glycated hemoglobin (A1C) is the reference test for long-term glucose monitoring, and it exhibits an association with diabetic chronic complications. However, A1C is not recommended in clinical situations which may interfere with the metabolism of hemoglobin, such as in hemolytic, secondary or iron deficiency anemia, hemoglobinopathies, pregnancy, and uremia. The glycated albumin (GA) is a test that reflects short-term glycemia and is not influenced by situations that falsely alter A1C levels. GA is the higher glycated portion of fructosamine. It is measured by a standardized enzymatic methodology, easy and fast to perform. These laboratory characteristics have ensured the highlight of GA in studies from the last decade, as a marker of monitoring and screening for DM, as well as a predictor of long-term outcomes of the disease. The aim of this review was to discuss the physiological and biochemistry characteristics of the GA, as well as its clinical utility in DM.

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

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 19%
Student > Bachelor 26 15%
Researcher 17 10%
Student > Ph. D. Student 14 8%
Student > Postgraduate 11 6%
Other 33 19%
Unknown 39 23%
Readers by discipline Count As %
Medicine and Dentistry 42 24%
Biochemistry, Genetics and Molecular Biology 27 16%
Agricultural and Biological Sciences 16 9%
Nursing and Health Professions 11 6%
Chemistry 7 4%
Other 23 13%
Unknown 46 27%

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 02 June 2018.
All research outputs
#11,572,250
of 13,022,532 outputs
Outputs from Archives of Endocrinology and Metabolism
#56
of 73 outputs
Outputs of similar age
#235,110
of 271,267 outputs
Outputs of similar age from Archives of Endocrinology and Metabolism
#3
of 3 outputs
Altmetric has tracked 13,022,532 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 73 research outputs from this source. They receive a mean Attention Score of 3.6. 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 271,267 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 3 others from the same source and published within six weeks on either side of this one.