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Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Overview of attention for article published in Genome Biology, October 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
8 X users
patent
26 patents

Citations

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2069 Dimensions

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mendeley
758 Mendeley
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Title
Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
Published in
Genome Biology, October 2016
DOI 10.1186/s13059-016-1070-5
Pubmed ID
Authors

Etienne Becht, Nicolas A. Giraldo, Laetitia Lacroix, Bénédicte Buttard, Nabila Elarouci, Florent Petitprez, Janick Selves, Pierre Laurent-Puig, Catherine Sautès-Fridman, Wolf H. Fridman, Aurélien de Reyniès

Abstract

We introduce the Microenvironment Cell Populations-counter (MCP-counter) method, which allows the robust quantification of the absolute abundance of eight immune and two stromal cell populations in heterogeneous tissues from transcriptomic data. We present in vitro mRNA mixture and ex vivo immunohistochemical data that quantitatively support the validity of our method's estimates. Additionally, we demonstrate that MCP-counter overcomes several limitations or weaknesses of previously proposed computational approaches. MCP-counter is applied to draw a global picture of immune infiltrates across human healthy tissues and non-hematopoietic human tumors and recapitulates microenvironment-based patient stratifications associated with overall survival in lung adenocarcinoma and colorectal and breast cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 758 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
United States 1 <1%
France 1 <1%
Unknown 755 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 156 21%
Student > Ph. D. Student 145 19%
Student > Master 76 10%
Student > Bachelor 54 7%
Student > Doctoral Student 35 5%
Other 97 13%
Unknown 195 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 196 26%
Agricultural and Biological Sciences 108 14%
Medicine and Dentistry 91 12%
Immunology and Microbiology 51 7%
Computer Science 25 3%
Other 58 8%
Unknown 229 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 12 December 2023.
All research outputs
#1,080,388
of 25,373,627 outputs
Outputs from Genome Biology
#781
of 4,467 outputs
Outputs of similar age
#19,958
of 322,969 outputs
Outputs of similar age from Genome Biology
#21
of 65 outputs
Altmetric has tracked 25,373,627 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 82% 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 322,969 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 65 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 67% of its contemporaries.