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Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen

Overview of attention for article published in BMC Genomics, January 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
260 Dimensions

Readers on

mendeley
169 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
Published in
BMC Genomics, January 2008
DOI 10.1186/1471-2164-9-239
Pubmed ID
Authors

Sherene Loi, Benjamin Haibe-Kains, Christine Desmedt, Pratyaksha Wirapati, Françoise Lallemand, Andrew M Tutt, Cheryl Gillet, Paul Ellis, Kenneth Ryder, James F Reid, Maria G Daidone, Marco A Pierotti, Els MJJ Berns, Maurice PHM Jansen, John A Foekens, Mauro Delorenzi, Gianluca Bontempi, Martine J Piccart, Christos Sotiriou

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 3 2%
Spain 2 1%
Belgium 2 1%
France 2 1%
Japan 1 <1%
China 1 <1%
Italy 1 <1%
Germany 1 <1%
Other 3 2%
Unknown 146 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 31%
Student > Ph. D. Student 34 20%
Student > Master 18 11%
Professor > Associate Professor 18 11%
Student > Doctoral Student 9 5%
Other 37 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 37%
Medicine and Dentistry 45 27%
Biochemistry, Genetics and Molecular Biology 19 11%
Computer Science 17 10%
Unspecified 10 6%
Other 16 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 April 2013.
All research outputs
#2,581,203
of 9,623,359 outputs
Outputs from BMC Genomics
#2,115
of 6,561 outputs
Outputs of similar age
#90,262
of 277,116 outputs
Outputs of similar age from BMC Genomics
#67
of 199 outputs
Altmetric has tracked 9,623,359 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 6,561 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 60% 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 277,116 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 65% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.