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A novel flow cytometry–based platelet aggregation assay

Overview of attention for article published in Blood, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 blog
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1 X user

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182 Mendeley
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Title
A novel flow cytometry–based platelet aggregation assay
Published in
Blood, January 2013
DOI 10.1182/blood-2012-06-437723
Pubmed ID
Authors

Iris M. De Cuyper, Marjolein Meinders, Edith van de Vijver, Dirk de Korte, Leendert Porcelijn, Masja de Haas, Johannes A. Eble, Karl Seeger, Sergio Rutella, Daria Pagliara, Taco W. Kuijpers, Arthur J. Verhoeven, Timo K. van den Berg, Laura Gutiérrez

Abstract

The main function of platelets is to maintain normal hemostasis. Inefficient platelet production and/or defective platelet function results in bleeding disorders resulting from a wide range of genetic traits and acquired pathologies. Several platelet function tests have been developed for use in the clinic and in experimental animal models. In particular, platelet aggregation is routinely measured in an aggregometer, which requires normal platelet counts and significant blood sample volumes. For this reason, the analysis of thrombocytopenic patients, infants, and animal models is problematic. We have developed a novel flow cytometry test of platelet aggregation, in which 10- to 25-fold lower platelet counts or sample volumes can be used, either of platelet-rich plasma or whole blood from human subjects or mice. This setup can be applied to test in small assay volumes the influence of a variety of stimuli, drugs, and plasma factors, such as antibodies, on platelet aggregation. The presented principle stands as a novel promising tool, which allows analysis of platelet aggregation in thrombocytopenic patients or infants, and facilitates studies in platelets obtained from experimental animal models without the need of special devices but a flow cytometer.

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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 176 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 26%
Student > Ph. D. Student 36 20%
Student > Bachelor 19 10%
Student > Master 13 7%
Other 10 5%
Other 30 16%
Unknown 26 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 25%
Medicine and Dentistry 33 18%
Biochemistry, Genetics and Molecular Biology 26 14%
Immunology and Microbiology 15 8%
Engineering 10 5%
Other 18 10%
Unknown 35 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 October 2023.
All research outputs
#4,619,624
of 25,374,917 outputs
Outputs from Blood
#6,722
of 33,238 outputs
Outputs of similar age
#45,439
of 290,322 outputs
Outputs of similar age from Blood
#63
of 333 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 79% 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 290,322 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 84% of its contemporaries.
We're also able to compare this research output to 333 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.