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High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer

Overview of attention for article published in Frontiers in immunology, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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6 X users

Citations

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117 Dimensions

Readers on

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95 Mendeley
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Title
High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer
Published in
Frontiers in immunology, May 2018
DOI 10.3389/fimmu.2018.01209
Pubmed ID
Authors

Joe Yeong, Jeffrey Chun Tatt Lim, Bernett Lee, Huihua Li, Noel Chia, Clara Chong Hui Ong, Weng Kit Lye, Thomas Choudary Putti, Rebecca Dent, Elaine Lim, Aye Aye Thike, Puay Hoon Tan, Jabed Iqbal

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 12%
Researcher 10 11%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Student > Postgraduate 6 6%
Other 14 15%
Unknown 39 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 20%
Medicine and Dentistry 16 17%
Immunology and Microbiology 7 7%
Agricultural and Biological Sciences 6 6%
Veterinary Science and Veterinary Medicine 3 3%
Other 7 7%
Unknown 37 39%
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 10 February 2020.
All research outputs
#8,595,726
of 25,998,826 outputs
Outputs from Frontiers in immunology
#10,572
of 32,231 outputs
Outputs of similar age
#137,668
of 348,103 outputs
Outputs of similar age from Frontiers in immunology
#314
of 747 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 32,231 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 65% 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 348,103 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 59% of its contemporaries.
We're also able to compare this research output to 747 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 56% of its contemporaries.