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Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non-small cell lung cancer

Overview of attention for article published in Cancer Research, February 2024
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
14 X users
reddit
1 Redditor

Readers on

mendeley
5 Mendeley
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Title
Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non-small cell lung cancer
Published in
Cancer Research, February 2024
DOI 10.1158/0008-5472.can-23-1698
Pubmed ID
Authors

Alessandra Rigamonti, Marika Viatore, Rebecca Polidori, Daoud Rahal, Marco Erreni, Maria Rita. Fumagalli, Damiano Zanini, Andrea Doni, Anna Rita. Putignano, Paola Bossi, Emanuele Voulaz, Marco Alloisio, Sabrina Rossi, Paolo Andrea. Zucali, Armando Santoro, Vittoria Balzano, Paola Nisticò, Friedrich Feuerhake, Alberto Mantovani, Massimo Locati, Federica Marchesi

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 60%
Unspecified 1 20%
Engineering 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 April 2024.
All research outputs
#3,455,956
of 25,637,545 outputs
Outputs from Cancer Research
#2,885
of 18,771 outputs
Outputs of similar age
#46,967
of 336,746 outputs
Outputs of similar age from Cancer Research
#17
of 76 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,771 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 84% 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 336,746 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 86% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.