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Ketolytic and glycolytic enzymatic expression profiles in malignant gliomas: implication for ketogenic diet therapy

Overview of attention for article published in Nutrition & Metabolism, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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10 X users
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2 Facebook pages

Citations

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90 Dimensions

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118 Mendeley
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Title
Ketolytic and glycolytic enzymatic expression profiles in malignant gliomas: implication for ketogenic diet therapy
Published in
Nutrition & Metabolism, July 2013
DOI 10.1186/1743-7075-10-47
Pubmed ID
Authors

Howard T Chang, Lawrence Karl Olson, Kenneth A Schwartz

Abstract

Recent studies in animal models, based on the hypothesis that malignant glioma cells are more dependent on glycolysis for energy generation, have shown promising results using ketogenic diet (KD) therapy as an alternative treatment strategy for malignant glioma, effectively starving glioma cells while providing ketone bodies as an energy source for normal neurons and glial cells. In order to test this treatment strategy in humans, we investigated the relative expression of several key enzymes involved in ketolytic and glycolytic metabolism in human anaplastic glioma (WHO grade III) and glioblastoma (GBM, WHO grade IV).

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
United States 1 <1%
Belgium 1 <1%
Australia 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 17%
Student > Bachelor 20 17%
Student > Ph. D. Student 15 13%
Researcher 12 10%
Student > Doctoral Student 9 8%
Other 21 18%
Unknown 21 18%
Readers by discipline Count As %
Medicine and Dentistry 37 31%
Biochemistry, Genetics and Molecular Biology 15 13%
Nursing and Health Professions 13 11%
Agricultural and Biological Sciences 11 9%
Neuroscience 8 7%
Other 9 8%
Unknown 25 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 September 2018.
All research outputs
#6,218,934
of 25,371,288 outputs
Outputs from Nutrition & Metabolism
#422
of 1,014 outputs
Outputs of similar age
#48,759
of 206,624 outputs
Outputs of similar age from Nutrition & Metabolism
#6
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has gotten more attention than average, scoring higher than 58% 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 206,624 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 76% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.