↓ Skip to main content

White fat, factitious hyperglycemia, and the role of FDG PET to enhance understanding of adipocyte metabolism

Overview of attention for article published in EJNMMI Research, June 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

1 research highlight platform


4 Dimensions

Readers on

9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
White fat, factitious hyperglycemia, and the role of FDG PET to enhance understanding of adipocyte metabolism
Published in
EJNMMI Research, June 2011
DOI 10.1186/2191-219x-1-2
Pubmed ID

Hofman MS, Hicks RJ, Michael S Hofman, Rodney J Hicks


The development of a hybrid PET/CT led to the recognition of the enhanced glycolysis in brown fat. We report a previously unrecognized mechanism for altered fluorodeoxyglucose (FDG) biodistribution with diffuse white adipose tissue uptake. This occurred during a restaging scan for cervical cancer following administration of insulin in the setting of measured hyperglycemia. The patient's blood sugar normalized, but she experienced symptoms and signs of hypoglycemia. A subsequent history indicated that the patient received intravenous high-dose vitamin C just prior to arrival. Ascorbic acid is a strong reducing agent and can cause erroneous false positive portable glucometer readings. Accordingly, it is likely the patient was euglycemic on arrival and was administered FDG during a period of insulin-induced hypoglycemia. Prominent diffuse white adipose tissue, gastric mucosal, myocardial, and very low hepatic and muscle activity were observed. The case provides insight into the metabolic changes that occur during hypoglycemia and the potential danger of relying on portable glucometer readings. We discuss the potential biological basis of this finding and provide recommendations on the avoidance of this complication.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 33%
Student > Ph. D. Student 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 6 67%
Psychology 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 1 11%

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 05 March 2012.
All research outputs
of 3,630,432 outputs
Outputs from EJNMMI Research
of 82 outputs
Outputs of similar age
of 74,014 outputs
Outputs of similar age from EJNMMI Research
of 1 outputs
Altmetric has tracked 3,630,432 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 0.6. This one has done well, scoring higher than 75% 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 74,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% 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