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Clinical and multiple gene expression variables in survival analysis of breast cancer: Analysis with the hypertabastic survival model

Overview of attention for article published in BMC Medical Genomics, December 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

peer_reviews
1 peer review site
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
11 Mendeley
Title
Clinical and multiple gene expression variables in survival analysis of breast cancer: Analysis with the hypertabastic survival model
Published in
BMC Medical Genomics, December 2012
DOI 10.1186/1755-8794-5-63
Pubmed ID
Authors

Mohammad A Tabatabai, Wayne M Eby, Nadim Nimeh, Hong Li, Karan P Singh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Researcher 3 27%
Other 1 9%
Student > Ph. D. Student 1 9%
Lecturer 1 9%
Other 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 45%
Medicine and Dentistry 3 27%
Mathematics 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 August 2021.
All research outputs
#6,426,255
of 22,830,751 outputs
Outputs from BMC Medical Genomics
#291
of 1,223 outputs
Outputs of similar age
#67,721
of 279,323 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 21 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 279,323 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 74% of its contemporaries.
We're also able to compare this research output to 21 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 61% of its contemporaries.