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Rapid Intraoperative Molecular Characterization of Glioma

Overview of attention for article published in JAMA Oncology, August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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1 news outlet
twitter
49 X users
facebook
4 Facebook pages

Citations

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70 Dimensions

Readers on

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62 Mendeley
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Title
Rapid Intraoperative Molecular Characterization of Glioma
Published in
JAMA Oncology, August 2015
DOI 10.1001/jamaoncol.2015.0917
Pubmed ID
Authors

Ganesh M. Shankar, Joshua M. Francis, Mikael L. Rinne, Shakti H. Ramkissoon, Franklin W. Huang, Andrew S. Venteicher, Elliot H. Akama-Garren, Yun Jee Kang, Nina Lelic, James C. Kim, Loreal E. Brown, Sarah K. Charbonneau, Alexandra J. Golby, Chandra Sekhar Pedamallu, Mai P. Hoang, Ryan J. Sullivan, Andrew D. Cherniack, Levi A. Garraway, Anat Stemmer-Rachamimov, David A. Reardon, Patrick Y. Wen, Priscilla K. Brastianos, William T. Curry, Fred G. Barker, William C. Hahn, Brian V. Nahed, Keith L. Ligon, David N. Louis, Daniel P. Cahill, Matthew Meyerson

Abstract

Conclusive intraoperative pathologic confirmation of diffuse infiltrative glioma guides the decision to pursue definitive neurosurgical resection. Establishing the intraoperative diagnosis by histologic analysis can be difficult in low-cellularity infiltrative gliomas. Therefore, we developed a rapid and sensitive genotyping assay to detect somatic single-nucleotide variants in the telomerase reverse transcriptase (TERT) promoter and isocitrate dehydrogenase 1 (IDH1). This assay was applied to tissue samples from 190 patients with diffuse gliomas, including archived fixed and frozen specimens and tissue obtained intraoperatively. Results demonstrated 96% sensitivity (95% CI, 90%-99%) and 100% specificity (95% CI, 95%-100%) for World Health Organization grades II and III gliomas. In a series of live cases, glioma-defining mutations could be identified within 60 minutes, which could facilitate the diagnosis in an intraoperative timeframe. The genotyping method described herein can establish the diagnosis of low-cellularity tumors like glioma and could be adapted to the point-of-care diagnosis of other lesions that are similarly defined by highly recurrent somatic mutations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 10 16%
Student > Doctoral Student 6 10%
Professor > Associate Professor 6 10%
Student > Bachelor 5 8%
Other 14 23%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 18 29%
Biochemistry, Genetics and Molecular Biology 6 10%
Agricultural and Biological Sciences 5 8%
Engineering 3 5%
Immunology and Microbiology 2 3%
Other 11 18%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 07 August 2018.
All research outputs
#1,121,991
of 25,559,053 outputs
Outputs from JAMA Oncology
#1,580
of 3,332 outputs
Outputs of similar age
#13,914
of 276,739 outputs
Outputs of similar age from JAMA Oncology
#39
of 100 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 84.3. This one has gotten more attention than average, scoring higher than 52% 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 276,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 100 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 62% of its contemporaries.