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The identification of mitochondrial DNA variants in glioblastoma multiforme

Overview of attention for article published in Acta Neuropathologica Communications, January 2014
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
5 tweeters
patent
2 patents

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
53 Mendeley
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Title
The identification of mitochondrial DNA variants in glioblastoma multiforme
Published in
Acta Neuropathologica Communications, January 2014
DOI 10.1186/2051-5960-2-1
Pubmed ID
Authors

Ka Yu Yeung, Adam Dickinson, Jacqueline F Donoghue, Galina Polekhina, Stefan J White, Dimitris K Grammatopoulos, Matthew McKenzie, Terrance G Johns, Justin C St John

Abstract

Mitochondrial DNA (mtDNA) encodes key proteins of the electron transfer chain (ETC), which produces ATP through oxidative phosphorylation (OXPHOS) and is essential for cells to perform specialised functions. Tumor-initiating cells use aerobic glycolysis, a combination of glycolysis and low levels of OXPHOS, to promote rapid cell proliferation and tumor growth. Glioblastoma multiforme (GBM) is an aggressively malignant brain tumor and mitochondria have been proposed to play a vital role in GBM tumorigenesis.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 23%
Student > Ph. D. Student 10 19%
Researcher 7 13%
Student > Master 6 11%
Student > Doctoral Student 4 8%
Other 10 19%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 9 17%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Engineering 3 6%
Other 5 9%
Unknown 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 January 2020.
All research outputs
#2,080,583
of 15,526,302 outputs
Outputs from Acta Neuropathologica Communications
#417
of 893 outputs
Outputs of similar age
#34,505
of 254,803 outputs
Outputs of similar age from Acta Neuropathologica Communications
#4
of 11 outputs
Altmetric has tracked 15,526,302 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 53% 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 254,803 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 86% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.