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Absolute counting of neutrophils in whole blood using flow cytometry

Overview of attention for article published in Cytometry Part A, July 2014
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Title
Absolute counting of neutrophils in whole blood using flow cytometry
Published in
Cytometry Part A, July 2014
DOI 10.1002/cyto.a.22503
Pubmed ID
Authors

Marion E. G. Brunck, Stacey B. Andersen, Nicholas E. Timmins, Geoffrey W. Osborne, Lars K. Nielsen

Abstract

Absolute neutrophil count (ANC) is used clinically to monitor physiological dysfunctions such as myelosuppression or infection. In the research laboratory, ANC is a valuable measure to monitor the evolution of a wide range of disease states in disease models. Flow cytometry (FCM) is a fast, widely used approach to confidently identify thousands of cells within minutes. FCM can be optimised for absolute counting using spiked-in beads or by measuring the sample volume analysed. Here we combine the 1A8 antibody, specific for the mouse granulocyte protein Ly6G, with flow cytometric counting in straightforward FCM assays for mouse ANC, easily implementable in the research laboratory. Volumetric and Trucount™ bead assays were optimized for mouse neutrophils, and ANC values obtained with these protocols were compared to ANC measured by a dual-platform assay using the Orphee Mythic 18 veterinary haematology analyser. The single platform assays were more precise with decreased intra-assay variability compared with ANC obtained using the dual protocol. Defining ANC based on Ly6G expression produces a 15% higher estimate than the dual protocol. Allowing for this difference in ANC definition, the flow cytometry counting assays using Ly6G can be used reliably in the research laboratory to quantify mouse ANC from a small volume of blood. We demonstrate the utility of the volumetric protocol in a time-course study of chemotherapy induced neutropenia using four drug regimens. © 2014 International Society for Advancement of Cytometry.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 8 18%
Other 4 9%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 6 14%
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 7 16%
Unknown 11 25%
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 December 2014.
All research outputs
#22,029,081
of 24,577,646 outputs
Outputs from Cytometry Part A
#1,274
of 1,391 outputs
Outputs of similar age
#199,660
of 232,767 outputs
Outputs of similar age from Cytometry Part A
#11
of 14 outputs
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So far Altmetric has tracked 1,391 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 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.