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Michigan Publishing

Transcriptomic Heterogeneity of Androgen Receptor Activity Defines a de novo low AR-Active Subclass in Treatment Naïve Primary Prostate Cancer

Overview of attention for article published in Clinical Cancer Research, November 2019
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Citations

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78 Dimensions

Readers on

mendeley
70 Mendeley
Title
Transcriptomic Heterogeneity of Androgen Receptor Activity Defines a de novo low AR-Active Subclass in Treatment Naïve Primary Prostate Cancer
Published in
Clinical Cancer Research, November 2019
DOI 10.1158/1078-0432.ccr-19-1587
Pubmed ID
Authors

Daniel E. Spratt, Mohammed Alshalalfa, Nick Fishbane, Adam B. Weiner, Rohit Mehra, Brandon A. Mahal, Jonathan Lehrer, Yang Liu, Shuang G. Zhao, Corey Speers, Todd M. Morgan, Adam P. Dicker, Stephen J. Freedland, R. Jeffery Karnes, Sheila Weinmann, Elai Davicioni, Ashley E. Ross, Robert B. Den, Paul L. Nguyen, Felix Y. Feng, Tamara L. Lotan, Arul M. Chinnaiyan, Edward M. Schaeffer

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Doctoral Student 9 13%
Student > Master 5 7%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 8 11%
Unknown 24 34%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Biochemistry, Genetics and Molecular Biology 10 14%
Agricultural and Biological Sciences 5 7%
Computer Science 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 9%
Unknown 27 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 May 2020.
All research outputs
#3,050,534
of 25,306,238 outputs
Outputs from Clinical Cancer Research
#2,690
of 13,212 outputs
Outputs of similar age
#59,590
of 366,624 outputs
Outputs of similar age from Clinical Cancer Research
#62
of 196 outputs
Altmetric has tracked 25,306,238 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 366,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 196 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 68% of its contemporaries.