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The murine Microenvironment Cell Population counter method to estimate abundance of tissue-infiltrating immune and stromal cell populations in murine samples using gene expression

Overview of attention for article published in Genome Medicine, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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16 X users

Citations

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67 Dimensions

Readers on

mendeley
59 Mendeley
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Title
The murine Microenvironment Cell Population counter method to estimate abundance of tissue-infiltrating immune and stromal cell populations in murine samples using gene expression
Published in
Genome Medicine, October 2020
DOI 10.1186/s13073-020-00783-w
Pubmed ID
Authors

Florent Petitprez, Sacha Levy, Cheng-Ming Sun, Maxime Meylan, Christophe Linhard, Etienne Becht, Nabila Elarouci, David Tavel, Lubka T. Roumenina, Mira Ayadi, Catherine Sautès-Fridman, Wolf H. Fridman, Aurélien de Reyniès

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 10 17%
Student > Bachelor 7 12%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 2 3%
Unknown 22 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 5 8%
Immunology and Microbiology 4 7%
Medicine and Dentistry 3 5%
Neuroscience 3 5%
Other 2 3%
Unknown 29 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 21 May 2022.
All research outputs
#3,664,914
of 23,245,494 outputs
Outputs from Genome Medicine
#756
of 1,453 outputs
Outputs of similar age
#90,847
of 414,388 outputs
Outputs of similar age from Genome Medicine
#13
of 24 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 414,388 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 78% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.