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Patterns of failure after multimodal treatments for high-grade glioma: effectiveness of MIB-1 labeling index

Overview of attention for article published in Radiation Oncology, June 2012
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1 X user

Citations

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Title
Patterns of failure after multimodal treatments for high-grade glioma: effectiveness of MIB-1 labeling index
Published in
Radiation Oncology, June 2012
DOI 10.1186/1748-717x-7-104
Pubmed ID
Authors

Kazuyuki Uehara, Takashi Sasayama, Daisuke Miyawaki, Hideki Nishimura, Kenji Yoshida, Yoshiaki Okamoto, Naritoshi Mukumoto, Hiroaki Akasaka, Masamitsu Nishihara, Osamu Fujii, Toshinori Soejima, Kazuro Sugimura, Eiji Kohmura, Ryohei Sasaki

Abstract

The purpose of the present study was to analyze the recurrence pattern of high-grade glioma treated with a multimodal treatment approach and to evaluate whether the MIB-1 labeling index (LI) could be a useful marker for predicting the pattern of failure in glioblastoma (GB).

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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nepal 1 2%
Netherlands 1 2%
Brazil 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 3 7%
Professor 3 7%
Other 8 19%
Unknown 10 24%
Readers by discipline Count As %
Medicine and Dentistry 26 62%
Neuroscience 2 5%
Agricultural and Biological Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 10 24%
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 07 July 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from Radiation Oncology
#1,407
of 2,044 outputs
Outputs of similar age
#126,397
of 164,429 outputs
Outputs of similar age from Radiation Oncology
#24
of 33 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% 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 164,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.