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Distinct cell adhesion signature defines glioblastoma myeloid-derived suppressor cell subsets

Overview of attention for article published in Cancer Research, September 2022
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
36 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Distinct cell adhesion signature defines glioblastoma myeloid-derived suppressor cell subsets
Published in
Cancer Research, September 2022
DOI 10.1158/0008-5472.can-21-3840
Pubmed ID
Authors

Defne Bayik, Cynthia F. Bartels, Katreya Lovrenert, Dionysios C. Watson, Duo Zhang, Kristen Kay, Juyeun Lee, Adam Lauko, Sadie Johnson, Alice Lo, Daniel J. Silver, Mary McGraw, Matthew Grabowski, Alireza M. Mohammadi, Filippo Veglia, Yi Fan, Michael A. Vogelbaum, Peter Scacheri, Justin D. Lathia

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Student > Doctoral Student 2 22%
Researcher 2 22%
Professor > Associate Professor 1 11%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Medicine and Dentistry 2 22%
Neuroscience 1 11%
Immunology and Microbiology 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 19 December 2022.
All research outputs
#1,862,338
of 25,760,414 outputs
Outputs from Cancer Research
#1,253
of 18,885 outputs
Outputs of similar age
#39,557
of 437,008 outputs
Outputs of similar age from Cancer Research
#23
of 103 outputs
Altmetric has tracked 25,760,414 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,885 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 93% 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 437,008 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 90% of its contemporaries.
We're also able to compare this research output to 103 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.