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PAM50 Breast Cancer Subtyping by RT-qPCR and Concordance with Standard Clinical Molecular Markers

Overview of attention for article published in BMC Medical Genomics, October 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 (91st percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
276 Dimensions

Readers on

mendeley
373 Mendeley
citeulike
1 CiteULike
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Title
PAM50 Breast Cancer Subtyping by RT-qPCR and Concordance with Standard Clinical Molecular Markers
Published in
BMC Medical Genomics, October 2012
DOI 10.1186/1755-8794-5-44
Pubmed ID
Authors

Roy RL Bastien, Álvaro Rodríguez-Lescure, Mark TW Ebbert, Aleix Prat, Blanca Munárriz, Leslie Rowe, Patricia Miller, Manuel Ruiz-Borrego, Daniel Anderson, Bradley Lyons, Isabel Álvarez, Tracy Dowell, David Wall, Miguel Ángel Seguí, Lee Barley, Kenneth M Boucher, Emilio Alba, Lisa Pappas, Carole A Davis, Ignacio Aranda, Christiane Fauron, Inge J Stijleman, José Palacios, Antonio Antón, Eva Carrasco, Rosalía Caballero, Matthew J Ellis, Torsten O Nielsen, Charles M Perou, Mark Astill, Philip S Bernard, Miguel Martín

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Spain 2 <1%
Portugal 1 <1%
Norway 1 <1%
Australia 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Other 2 <1%
Unknown 360 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 25%
Researcher 63 17%
Student > Master 32 9%
Student > Bachelor 32 9%
Student > Doctoral Student 29 8%
Other 67 18%
Unknown 57 15%
Readers by discipline Count As %
Medicine and Dentistry 92 25%
Agricultural and Biological Sciences 88 24%
Biochemistry, Genetics and Molecular Biology 81 22%
Computer Science 12 3%
Engineering 9 2%
Other 29 8%
Unknown 62 17%
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 04 February 2014.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#501
of 2,488 outputs
Outputs of similar age
#53,885
of 194,678 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 34 outputs
Altmetric has tracked 26,017,215 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 2,488 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 79% 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 194,678 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 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.