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Subtypes of familial breast tumours revealed by expression and copy number profiling

Overview of attention for article published in Breast Cancer Research and Treatment, December 2009
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
patent
2 patents

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
1 CiteULike
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Title
Subtypes of familial breast tumours revealed by expression and copy number profiling
Published in
Breast Cancer Research and Treatment, December 2009
DOI 10.1007/s10549-009-0653-1
Pubmed ID
Authors

Nic Waddell, Jeremy Arnold, Sibylle Cocciardi, Leonard da Silva, Anna Marsh, Joan Riley, Cameron N. Johnstone, Mohammed Orloff, Guillaume Assie, Charis Eng, Lynne Reid, Patricia Keith, Max Yan, Stephen Fox, Peter Devilee, Andrew K. Godwin, Frans B.L. Hogervorst, Fergus Couch, kConFab Investigators, Sean Grimmond, James M. Flanagan, Kumkum Khanna, Peter T. Simpson, Sunil R. Lakhani, Georgia Chenevix-Trench

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Germany 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Ph. D. Student 12 19%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Professor > Associate Professor 4 6%
Other 11 18%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 31%
Medicine and Dentistry 16 26%
Biochemistry, Genetics and Molecular Biology 10 16%
Computer Science 3 5%
Unspecified 2 3%
Other 2 3%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 July 2022.
All research outputs
#2,280,037
of 22,792,160 outputs
Outputs from Breast Cancer Research and Treatment
#333
of 4,655 outputs
Outputs of similar age
#11,148
of 165,281 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#6
of 54 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,655 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 92% 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 165,281 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.