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Pathogenesis of Lafora Disease: Transition of Soluble Glycogen to Insoluble Polyglucosan

Overview of attention for article published in International Journal of Molecular Sciences, August 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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2 X users
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2 Wikipedia pages

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76 Mendeley
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Article details
Title
Pathogenesis of Lafora Disease: Transition of Soluble Glycogen to Insoluble Polyglucosan
Published in
International Journal of Molecular Sciences, August 2017
DOI 10.3390/ijms18081743
Pubmed ID
Authors
Abstract

Lafora disease (LD, OMIM #254780) is a rare, recessively inherited neurodegenerative disease with adolescent onset, resulting in progressive myoclonus epilepsy which is fatal usually within ten years of symptom onset. The disease is caused by loss-of-function mutations in either of the two genes EPM2A (laforin) or EPM2B (malin). It characteristically involves the accumulation of insoluble glycogen-derived particles, named Lafora bodies (LBs), which are considered neurotoxic and causative of the disease. The pathogenesis of LD is therefore centred on the question of how insoluble LBs emerge from soluble glycogen. Recent data clearly show that an abnormal glycogen chain length distribution, but neither hyperphosphorylation nor impairment of general autophagy, strictly correlates with glycogen accumulation and the presence of LBs. This review summarizes results obtained with patients, mouse models, and cell lines and consolidates apparent paradoxes in the LD literature. Based on the growing body of evidence, it proposes that LD is predominantly caused by an impairment in chain-length regulation affecting only a small proportion of the cellular glycogen. A better grasp of LD pathogenesis will further develop our understanding of glycogen metabolism and structure. It will also facilitate the development of clinical interventions that appropriately target the underlying cause of LD.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 10 13%
Student > Master 8 11%
Student > Bachelor 7 9%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 5 7%
Other 9 12%
Unknown 31 41%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 9 12%
Agricultural and Biological Sciences 5 7%
Neuroscience 4 5%
Veterinary Science and Veterinary Medicine 2 3%
Other 7 9%
Unknown 32 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 December 2017.
All research outputs
#8,074,452
of 27,788,586 outputs
Outputs from International Journal of Molecular Sciences
#11,354
of 48,357 outputs
Outputs of similar age
#108,369
of 334,705 outputs
Outputs of similar age from International Journal of Molecular Sciences
#119
of 475 outputs
Altmetric has tracked 27,788,586 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 48,357 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 76% 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 334,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 475 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.