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Conversion of a molecular classifier obtained by gene expression profiling into a classifier based on real-time PCR: a prognosis predictor for gliomas

Overview of attention for article published in BMC Medical Genomics, November 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
patent
3 patents

Citations

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1 Dimensions

Readers on

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18 Mendeley
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Title
Conversion of a molecular classifier obtained by gene expression profiling into a classifier based on real-time PCR: a prognosis predictor for gliomas
Published in
BMC Medical Genomics, November 2010
DOI 10.1186/1755-8794-3-52
Pubmed ID
Authors

Satoru Kawarazaki, Kazuya Taniguchi, Mitsuaki Shirahata, Yoji Kukita, Manabu Kanemoto, Nobuhiro Mikuni, Nobuo Hashimoto, Susumu Miyamoto, Jun A Takahashi, Kikuya Kato

Abstract

The advent of gene expression profiling was expected to dramatically improve cancer diagnosis. However, despite intensive efforts and several successful examples, the development of profile-based diagnostic systems remains a difficult task. In the present work, we established a method to convert molecular classifiers based on adaptor-tagged competitive PCR (ATAC-PCR) (with a data format that is similar to that of microarrays) into classifiers based on real-time PCR.

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

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Spain 1 6%
Belgium 1 6%
Unknown 15 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 5 28%
Student > Bachelor 3 17%
Professor > Associate Professor 2 11%
Student > Postgraduate 2 11%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 6 33%
Agricultural and Biological Sciences 4 22%
Engineering 2 11%
Mathematics 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 11%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 December 2021.
All research outputs
#4,509,903
of 22,774,233 outputs
Outputs from BMC Medical Genomics
#212
of 1,222 outputs
Outputs of similar age
#20,414
of 101,051 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 9 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 101,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.