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A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer

Overview of attention for article published in Frontiers in oncology, April 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
34 X users

Citations

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10 Dimensions

Readers on

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40 Mendeley
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Title
A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
Published in
Frontiers in oncology, April 2019
DOI 10.3389/fonc.2019.00303
Pubmed ID
Authors

Tomás Pascual, Miguel Martin, Aranzazu Fernández-Martínez, Laia Paré, Emilio Alba, Álvaro Rodríguez-Lescure, Giuseppe Perrone, Javier Cortés, Serafín Morales, Ana Lluch, Ander Urruticoechea, Blanca González-Farré, Patricia Galván, Pedro Jares, Adela Rodriguez, Nuria Chic, Daniela Righi, Juan Miguel Cejalvo, Giuseppe Tonini, Barbara Adamo, Maria Vidal, Patricia Villagrasa, Montserrat Muñoz, Aleix Prat

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Bachelor 5 13%
Student > Ph. D. Student 3 8%
Professor > Associate Professor 3 8%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 14 35%
Readers by discipline Count As %
Medicine and Dentistry 14 35%
Neuroscience 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 16 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 December 2021.
All research outputs
#1,789,805
of 26,312,809 outputs
Outputs from Frontiers in oncology
#357
of 22,969 outputs
Outputs of similar age
#38,136
of 366,813 outputs
Outputs of similar age from Frontiers in oncology
#11
of 297 outputs
Altmetric has tracked 26,312,809 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,969 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% 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 366,813 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 89% of its contemporaries.
We're also able to compare this research output to 297 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 96% of its contemporaries.