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Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome

Overview of attention for article published in BMC Cancer, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 X user
patent
1 patent
facebook
1 Facebook page

Citations

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25 Dimensions

Readers on

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47 Mendeley
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Title
Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome
Published in
BMC Cancer, July 2012
DOI 10.1186/1471-2407-12-310
Pubmed ID
Authors

Manfred Beleut, Philip Zimmermann, Michael Baudis, Nicole Bruni, Peter Bühlmann, Oliver Laule, Van-Duc Luu, Wilhelm Gruissem, Peter Schraml, Holger Moch

Abstract

Renal cell carcinoma (RCC) is characterized by a number of diverse molecular aberrations that differ among individuals. Recent approaches to molecularly classify RCC were based on clinical, pathological as well as on single molecular parameters. As a consequence, gene expression patterns reflecting the sum of genetic aberrations in individual tumors may not have been recognized. In an attempt to uncover such molecular features in RCC, we used a novel, unbiased and integrative approach.

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

Geographical breakdown

Country Count As %
Switzerland 2 4%
South Africa 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 8 17%
Other 6 13%
Student > Master 6 13%
Student > Bachelor 3 6%
Other 4 9%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 32%
Biochemistry, Genetics and Molecular Biology 9 19%
Medicine and Dentistry 4 9%
Mathematics 1 2%
Nursing and Health Professions 1 2%
Other 6 13%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 August 2014.
All research outputs
#6,246,656
of 22,671,366 outputs
Outputs from BMC Cancer
#1,560
of 8,243 outputs
Outputs of similar age
#43,974
of 164,297 outputs
Outputs of similar age from BMC Cancer
#14
of 78 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,243 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% 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 164,297 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.