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Converting a breast cancer microarray signature into a high-throughput diagnostic test

Overview of attention for article published in BMC Genomics, October 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
390 Dimensions

Readers on

mendeley
195 Mendeley
citeulike
4 CiteULike
connotea
3 Connotea
Title
Converting a breast cancer microarray signature into a high-throughput diagnostic test
Published in
BMC Genomics, October 2006
DOI 10.1186/1471-2164-7-278
Pubmed ID
Authors

Annuska M Glas, Arno Floore, Leonie JMJ Delahaye, Anke T Witteveen, Rob CF Pover, Niels Bakx, Jaana ST Lahti-Domenici, Tako J Bruinsma, Marc O Warmoes, René Bernards, Lodewyk FA Wessels, Laura J Van 't Veer

Abstract

A 70-gene tumor expression profile was established as a powerful predictor of disease outcome in young breast cancer patients. This profile, however, was generated on microarrays containing 25,000 60-mer oligonucleotides that are not designed for processing of many samples on a routine basis.

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Spain 2 1%
United Kingdom 1 <1%
Australia 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Unknown 184 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 33%
Student > Ph. D. Student 26 13%
Student > Master 22 11%
Other 16 8%
Student > Bachelor 13 7%
Other 40 21%
Unknown 14 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 34%
Medicine and Dentistry 42 22%
Biochemistry, Genetics and Molecular Biology 29 15%
Computer Science 13 7%
Engineering 5 3%
Other 19 10%
Unknown 20 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 24 November 2015.
All research outputs
#1,452,951
of 12,373,620 outputs
Outputs from BMC Genomics
#816
of 7,296 outputs
Outputs of similar age
#38,122
of 264,849 outputs
Outputs of similar age from BMC Genomics
#28
of 252 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 264,849 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 85% of its contemporaries.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.