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Erratum to: Generation of an algorithm based on minimal gene sets to clinically subtype triple negative breast cancer patients

Overview of attention for article published in BMC Cancer, April 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
3 Mendeley
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Title
Erratum to: Generation of an algorithm based on minimal gene sets to clinically subtype triple negative breast cancer patients
Published in
BMC Cancer, April 2016
DOI 10.1186/s12885-016-2307-0
Pubmed ID
Authors

Brian Z. Ring, David R. Hout, Stephan W. Morris, Kasey Lawrence, Brock L. Schweitzer, Daniel B. Bailey, Brian D. Lehmann, Jennifer A. Pietenpol, Robert S. Seitz

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2016.
All research outputs
#14,753,130
of 23,613,071 outputs
Outputs from BMC Cancer
#3,481
of 8,487 outputs
Outputs of similar age
#162,295
of 300,421 outputs
Outputs of similar age from BMC Cancer
#47
of 132 outputs
Altmetric has tracked 23,613,071 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,487 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 55% 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 300,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 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 62% of its contemporaries.