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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 tweeters
patent
5 patents

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
63 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 63 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 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 21%
Student > Ph. D. Student 10 16%
Researcher 10 16%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Other 12 19%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 13 21%
Medicine and Dentistry 10 16%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Engineering 3 5%
Other 6 10%
Unknown 9 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 10 November 2022.
All research outputs
#2,443,855
of 22,661,413 outputs
Outputs from Acta Neuropathologica Communications
#424
of 1,358 outputs
Outputs of similar age
#30,242
of 304,923 outputs
Outputs of similar age from Acta Neuropathologica Communications
#4
of 35 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 68% 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 304,923 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 89% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.