↓ Skip to main content

Dove Medical Press

Novel biomarkers for prediabetes, diabetes, and associated complications

Overview of attention for article published in Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, August 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
389 Mendeley
Title
Novel biomarkers for prediabetes, diabetes, and associated complications
Published in
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, August 2017
DOI 10.2147/dmso.s100074
Pubmed ID
Authors

Brenda Dorcely, Karin Katz, Ram Jagannathan, Stephanie S Chiang, Babajide Oluwadare, Ira J Goldberg, Michael Bergman

Abstract

The number of individuals with prediabetes is expected to grow substantially and estimated to globally affect 482 million people by 2040. Therefore, effective methods for diagnosing prediabetes will be required to reduce the risk of progressing to diabetes and its complications. The current biomarkers, glycated hemoglobin (HbA1c), fructosamine, and glycated albumin have limitations including moderate sensitivity and specificity and are inaccurate in certain clinical conditions. Therefore, identification of additional biomarkers is being explored recognizing that any single biomarker will also likely have inherent limitations. Therefore, combining several biomarkers may more precisely identify those at high risk for developing prediabetes and subsequent progression to diabetes. This review describes recently identified biomarkers and their potential utility for addressing the burgeoning epidemic of dysglycemic disorders.

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

Geographical breakdown

Country Count As %
Unknown 389 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 13%
Student > Ph. D. Student 45 12%
Student > Bachelor 38 10%
Student > Master 35 9%
Student > Postgraduate 25 6%
Other 57 15%
Unknown 137 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 73 19%
Medicine and Dentistry 56 14%
Agricultural and Biological Sciences 24 6%
Nursing and Health Professions 22 6%
Pharmacology, Toxicology and Pharmaceutical Science 16 4%
Other 47 12%
Unknown 151 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 February 2024.
All research outputs
#1,269,998
of 25,461,852 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#63
of 1,184 outputs
Outputs of similar age
#25,200
of 327,733 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#2
of 7 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 94% 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 327,733 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 92% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.