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Unsupervised Analysis of Flow Cytometry Data in a Clinical Setting Captures Cell Diversity and Allows Population Discovery

Overview of attention for article published in Frontiers in immunology, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Unsupervised Analysis of Flow Cytometry Data in a Clinical Setting Captures Cell Diversity and Allows Population Discovery
Published in
Frontiers in immunology, April 2021
DOI 10.3389/fimmu.2021.633910
Pubmed ID
Authors

Petra Baumgaertner, Martial Sankar, Fernanda Herrera, Fabrizio Benedetti, David Barras, Anne-Christine Thierry, Denarda Dangaj, Lana E. Kandalaft, George Coukos, Ioannis Xenarios, Nicolas Guex, Alexandre Harari

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Researcher 6 16%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 2 5%
Student > Bachelor 2 5%
Other 3 8%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 14%
Immunology and Microbiology 5 14%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Materials Science 2 5%
Other 6 16%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2021.
All research outputs
#8,578,315
of 25,477,125 outputs
Outputs from Frontiers in immunology
#10,867
of 31,773 outputs
Outputs of similar age
#180,611
of 453,703 outputs
Outputs of similar age from Frontiers in immunology
#531
of 1,335 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 64% 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 453,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 1,335 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 58% of its contemporaries.