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The Art of Intraoperative Glioma Identification

Overview of attention for article published in Frontiers in oncology, July 2015
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Mentioned by

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1 X user
facebook
3 Facebook pages

Citations

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32 Dimensions

Readers on

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79 Mendeley
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Title
The Art of Intraoperative Glioma Identification
Published in
Frontiers in oncology, July 2015
DOI 10.3389/fonc.2015.00175
Pubmed ID
Authors

Zoe Z. Zhang, Lisa B. E. Shields, David A. Sun, Yi Ping Zhang, Matthew A. Hunt, Christopher B. Shields

Abstract

A major dilemma in brain-tumor surgery is the identification of tumor boundaries to maximize tumor excision and minimize postoperative neurological damage. Gliomas, especially low-grade tumors, and normal brain have a similar color and texture, which poses a challenge to the neurosurgeon. Advances in glioma resection techniques combine the experience of the neurosurgeon and various advanced technologies. Intraoperative methods to delineate gliomas from normal tissue consist of (1) image-based navigation, (2) intraoperative sampling, (3) electrophysiological monitoring, and (4) enhanced visual tumor demarcation. The advantages and disadvantages of each technique are discussed. A combination of these methods is becoming widely accepted in routine glioma surgery. Gross total resection in conjunction with radiation, chemotherapy, or immune/gene therapy may increase the rates of cure in this devastating disease.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Poland 1 1%
Unknown 77 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Bachelor 12 15%
Student > Doctoral Student 7 9%
Researcher 6 8%
Student > Postgraduate 6 8%
Other 12 15%
Unknown 21 27%
Readers by discipline Count As %
Medicine and Dentistry 27 34%
Engineering 5 6%
Neuroscience 4 5%
Nursing and Health Professions 3 4%
Physics and Astronomy 3 4%
Other 9 11%
Unknown 28 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2015.
All research outputs
#16,722,913
of 25,374,917 outputs
Outputs from Frontiers in oncology
#6,609
of 22,416 outputs
Outputs of similar age
#154,977
of 274,991 outputs
Outputs of similar age from Frontiers in oncology
#30
of 62 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 274,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.