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Genetic variants in telomerase-related genes are associated with an older age at diagnosis in glioma patients: evidence for distinct pathways of gliomagenesis

Overview of attention for article published in Neuro-Oncology, June 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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6 X users
googleplus
1 Google+ user

Citations

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42 Dimensions

Readers on

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34 Mendeley
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Title
Genetic variants in telomerase-related genes are associated with an older age at diagnosis in glioma patients: evidence for distinct pathways of gliomagenesis
Published in
Neuro-Oncology, June 2013
DOI 10.1093/neuonc/not051
Pubmed ID
Authors

Kyle M Walsh, Terri Rice, Paul A Decker, Matthew L Kosel, Thomas Kollmeyer, Helen M Hansen, Shichun Zheng, Lucie S McCoy, Paige M Bracci, Erik Anderson, George Hsuang, Joe L Wiemels, Alexander R Pico, Ivan Smirnov, Annette M Molinaro, Tarik Tihan, Mitchell S Berger, Susan M Chang, Michael D Prados, Daniel H Lachance, Hugues Sicotte, Jeanette E Eckel-Passow, John K Wiencke, Robert B Jenkins, Margaret R Wrensch

Abstract

Genome-wide association studies have implicated single nucleotide polymorphisms (SNPs) in 7 genes as glioma risk factors, including 2 (TERT, RTEL1) involved in telomerase structure/function. We examined associations of these 7 established glioma risk loci with age at diagnosis among patients with glioma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 5 15%
Student > Bachelor 4 12%
Student > Master 4 12%
Professor 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 26%
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 7 21%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 June 2013.
All research outputs
#6,926,434
of 22,711,645 outputs
Outputs from Neuro-Oncology
#1,028
of 3,235 outputs
Outputs of similar age
#59,240
of 195,516 outputs
Outputs of similar age from Neuro-Oncology
#4
of 37 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 66% 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 195,516 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 68% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.