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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 678)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

patent
12 patents
wikipedia
6 Wikipedia pages

Readers on

mendeley
207 Mendeley
citeulike
1 CiteULike
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Article details
Title
Elucidation of seventeen human peripheral blood B‐cell subsets and quantification of the tetanus response using a density‐based method for the automated identification of cell populations in multidimensional flow cytometry data
Published in
Cytometry Part B: Clinical Cytometry, December 2010
DOI 10.1002/cyto.b.20554
Pubmed ID
Authors
Abstract

Advances in multiparameter flow cytometry (FCM) now allow for the independent detection of larger numbers of fluorochromes on individual cells, generating data with increasingly higher dimensionality. The increased complexity of these data has made it difficult to identify cell populations from high-dimensional FCM data using traditional manual gating strategies based on single-color or two-color displays.

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Timeline Attention over time Attention Score history
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 3%
Spain 2 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 195 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 47 23%
Student > Ph. D. Student 46 22%
Student > Master 19 9%
Student > Bachelor 14 7%
Professor > Associate Professor 13 6%
Other 37 18%
Unknown 31 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 55 27%
Medicine and Dentistry 28 14%
Immunology and Microbiology 27 13%
Biochemistry, Genetics and Molecular Biology 23 11%
Computer Science 15 7%
Other 24 12%
Unknown 35 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 March 2026.
All research outputs
#2,986,650
of 34,089,221 outputs
Outputs from Cytometry Part B: Clinical Cytometry
#24
of 678 outputs
Outputs of similar age
#16,002
of 254,039 outputs
Outputs of similar age from Cytometry Part B: Clinical Cytometry
#1
of 11 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 95% 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 254,039 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 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.