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Diffusion Weighted/Tensor Imaging, Functional MRI and Perfusion Weighted Imaging in Glioblastoma—Foundations and Future

Overview of attention for article published in Frontiers in Neurology, January 2018
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Title
Diffusion Weighted/Tensor Imaging, Functional MRI and Perfusion Weighted Imaging in Glioblastoma—Foundations and Future
Published in
Frontiers in Neurology, January 2018
DOI 10.3389/fneur.2017.00660
Pubmed ID
Authors

Gayle R. Salama, Linda A. Heier, Praneil Patel, Rohan Ramakrishna, Rajiv Magge, Apostolos John Tsiouris

Abstract

In this article, we review the basics of diffusion tensor imaging and functional MRI, their current utility in preoperative neurosurgical mapping, and their limitations. We also discuss potential future applications, including implementation of resting state functional MRI. We then discuss perfusion and diffusion-weighted imaging and their application in advanced neuro-oncologic practice. We explain how these modalities can be helpful in guiding surgical biopsies and differentiating recurrent tumor from treatment related changes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Student > Ph. D. Student 10 12%
Researcher 9 11%
Student > Bachelor 7 8%
Other 6 7%
Other 8 10%
Unknown 31 37%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Neuroscience 9 11%
Unspecified 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Nursing and Health Professions 3 4%
Other 12 14%
Unknown 30 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 January 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from Frontiers in Neurology
#8,932
of 11,914 outputs
Outputs of similar age
#378,230
of 441,076 outputs
Outputs of similar age from Frontiers in Neurology
#160
of 225 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 441,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.