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Spatially Segregated Macrophage Populations Predict Distinct Outcomes In Colon Cancer

Overview of attention for article published in Cancer Discovery, March 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
73 X users
facebook
1 Facebook page

Citations

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13 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Spatially Segregated Macrophage Populations Predict Distinct Outcomes In Colon Cancer
Published in
Cancer Discovery, March 2024
DOI 10.1158/2159-8290.cd-23-1300
Pubmed ID
Authors

Magdalena Matusiak, John W. Hickey, David G.P. van IJzendoorn, Guolan Lu, Lukasz Kidziński, Shirley Zhu, Deana R.C. Colburg, Bogdan Luca, Darci J. Phillips, Sky W. Brubaker, Gregory W. Charville, Jeanne Shen, Kyle M. Loh, Derick K. Okwan-Duodu, Garry P. Nolan, Aaron M. Newman, Robert B. West, Matt van de Rijn

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 73 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 8 15%
Student > Postgraduate 5 9%
Student > Bachelor 3 5%
Professor > Associate Professor 3 5%
Other 8 15%
Unknown 19 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Immunology and Microbiology 8 15%
Agricultural and Biological Sciences 8 15%
Unspecified 2 4%
Computer Science 1 2%
Other 1 2%
Unknown 21 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 October 2024.
All research outputs
#1,294,492
of 26,794,105 outputs
Outputs from Cancer Discovery
#665
of 4,261 outputs
Outputs of similar age
#21,650
of 357,130 outputs
Outputs of similar age from Cancer Discovery
#34
of 77 outputs
Altmetric has tracked 26,794,105 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. 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 357,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 77 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 55% of its contemporaries.