↓ Skip to main content

The accelerator hypothesis: weight gain as the missing link between Type I and Type II diabetes

Overview of attention for article published in Diabetologia, July 2001
Altmetric Badge

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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users
patent
1 patent

Citations

dimensions_citation
489 Dimensions

Readers on

mendeley
216 Mendeley
citeulike
2 CiteULike
Title
The accelerator hypothesis: weight gain as the missing link between Type I and Type II diabetes
Published in
Diabetologia, July 2001
DOI 10.1007/s001250100548
Pubmed ID
Authors

T. J. Wilkin

Abstract

Blood glucose concentrations are controlled by a loop incorporating two components, the beta cells which secrete insulin and the insulin-sensitive tissues (liver, muscle, adipose) which respond to it. Loss of blood glucose control might result from failure of the beta cells to secrete insulin, resistance of the tissues to its action, or a combination of both. The distinctions between Type I (insulin-dependent) and Type II (non-insulin-dependent) diabetes mellitus are becoming increasingly blurred both clinically and aetiologically, where beta-cell insufficiency is the shared characteristic. The 'Accelerator Hypothesis' identifies three processes which variably accelerate the loss of beta cells through apoptosis: constitution, insulin resistance and autoimmunity. None of the accelerators leads to diabetes without excess weight gain, a trend which the 'Accelerator Hypothesis' deems central to the rising incidence of both types of diabetes in the industrially developed world. Weight gain causes an increase in insulin resistance, which results in the weakening of glucose control. The rising blood glucose (glucotoxicity) accelerates beta-cell apoptosis directly in all and, by inducing beta-cell immunogens, further accelerates it in a subset genetically predisposed to autoimmunity. Rather than overlap between two types of diabetes, the 'Accelerator Hypothesis' envisages overlay. Body mass is central to the development and rising incidence of all diabetes. Only tempo distinguishes the 'types'. The control of weight gain, and with it insulin resistance, could be the means of minimising both.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Switzerland 1 <1%
Portugal 1 <1%
Australia 1 <1%
Italy 1 <1%
Unknown 209 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 15%
Student > Bachelor 29 13%
Researcher 26 12%
Student > Master 22 10%
Student > Postgraduate 18 8%
Other 41 19%
Unknown 47 22%
Readers by discipline Count As %
Medicine and Dentistry 80 37%
Agricultural and Biological Sciences 23 11%
Biochemistry, Genetics and Molecular Biology 18 8%
Nursing and Health Professions 10 5%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 24 11%
Unknown 53 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 March 2019.
All research outputs
#4,792,785
of 25,837,817 outputs
Outputs from Diabetologia
#2,032
of 5,621 outputs
Outputs of similar age
#6,278
of 42,046 outputs
Outputs of similar age from Diabetologia
#3
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has gotten more attention than average, scoring higher than 60% 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 42,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.