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The multitude of molecular analyses in cancer: the opening of Pandora’s box

Overview of attention for article published in Genome Biology, September 2014
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About this Attention Score

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

Mentioned by

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8 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
79 Mendeley
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2 CiteULike
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Title
The multitude of molecular analyses in cancer: the opening of Pandora’s box
Published in
Genome Biology, September 2014
DOI 10.1186/s13059-014-0447-6
Pubmed ID
Authors

Hege G Russnes, Per E Lønning, Anne-Lise Børresen-Dale, Ole C Lingjærde

Abstract

The availability of large amounts of molecular data of unprecedented depth and width has instigated new paths of interdisciplinary activity in cancer research. Translation of such information to allow its optimal use in cancer therapy will require molecular biologists to embrace statistical and computational concepts and models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 %
Germany 1 1%
Brazil 1 1%
United Kingdom 1 1%
Denmark 1 1%
Spain 1 1%
United States 1 1%
Unknown 73 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Student > Ph. D. Student 13 16%
Other 9 11%
Student > Master 9 11%
Professor > Associate Professor 4 5%
Other 12 15%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 42%
Medicine and Dentistry 12 15%
Biochemistry, Genetics and Molecular Biology 12 15%
Computer Science 4 5%
Nursing and Health Professions 2 3%
Other 8 10%
Unknown 8 10%
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 25 February 2015.
All research outputs
#7,205,554
of 25,374,917 outputs
Outputs from Genome Biology
#3,269
of 4,467 outputs
Outputs of similar age
#66,741
of 249,192 outputs
Outputs of similar age from Genome Biology
#71
of 105 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 26th percentile – i.e., 26% 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 249,192 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 105 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.