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Flow Cytometry-Based Protocols for the Analysis of Human Plasma Cell Differentiation

Overview of attention for article published in Frontiers in immunology, September 2020
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Mentioned by

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1 X user

Citations

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Readers on

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49 Mendeley
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Title
Flow Cytometry-Based Protocols for the Analysis of Human Plasma Cell Differentiation
Published in
Frontiers in immunology, September 2020
DOI 10.3389/fimmu.2020.571321
Pubmed ID
Authors

Sharesta Khoenkhoen, Monika Ádori, Gabriel K. Pedersen, Gunilla B. Karlsson Hedestam

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Researcher 9 18%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 4 8%
Student > Postgraduate 2 4%
Other 1 2%
Unknown 17 35%
Readers by discipline Count As %
Immunology and Microbiology 9 18%
Medicine and Dentistry 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 7 14%
Unknown 18 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 November 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Frontiers in immunology
#27,440
of 31,541 outputs
Outputs of similar age
#374,003
of 432,829 outputs
Outputs of similar age from Frontiers in immunology
#755
of 873 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% 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 432,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 873 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.