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Application of the automated haematology analyzer XN-30 in an experimental rodent model of malaria

Overview of attention for article published in Malaria Journal, April 2018
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Title
Application of the automated haematology analyzer XN-30 in an experimental rodent model of malaria
Published in
Malaria Journal, April 2018
DOI 10.1186/s12936-018-2313-6
Pubmed ID
Authors

Takahiro Tougan, Yuhgi Suzuki, Munehisa Izuka, Kei Aono, Tomonori Okazaki, Yuji Toya, Kinya Uchihashi, Toshihiro Horii

Abstract

The erythrocytic stage, where malaria parasites proliferate in human blood, is clinically significant as this causes the symptoms and illness of malaria. Experimental rodent models of malaria at the erythrocytic stage are used for the development of anti-malarial drugs and for biological analysis. An automated haematology analyzer XN-30 was developed for detection of infected red blood cells (iRBCs) in human blood samples and measurement of their parasitaemia in approximately 1 min through flow cytometry analysis. Additionally, the analyzer simultaneously measured other haematological parameters in these samples. It is inferred that the analyzer would also allow easy and rapid measurement of parasitaemia in mice and provide important clues on the mouse haematological state during infection and treatment. The XN-30 analyzer is a simple and rapid tool to detect iRBCs in mouse blood samples infected with rodent malarial parasites, with three-dimensional analysis permitting the precise measurement of parasitaemia (referred herein as the 'XN-30 system'). The XN-30 analyzer allowed not only the detection of iRBCs but also the monitoring of RBC, white blood cell, and platelet counts, as well as haematocrit, mean corpuscular volume and mean platelet volume values in the mouse blood sample. For anti-malarial drug development, aside from demonstrating possible efficacy in mouse models, XN-30 analyzer could provide a first glimpse of the safety profile of the drug. The XN-30 system is a powerful tool that can be utilized for the in vivo screening, development, and evaluation of anti-malarial drugs as well as for pre-clinical pharmacology and/or toxicity tests in rodent models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 4 15%
Student > Master 3 12%
Student > Bachelor 2 8%
Unspecified 2 8%
Other 0 0%
Unknown 8 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 5 19%
Unspecified 2 8%
Immunology and Microbiology 2 8%
Computer Science 1 4%
Other 3 12%
Unknown 8 31%
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 17 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Malaria Journal
#5,078
of 5,605 outputs
Outputs of similar age
#231,149
of 296,868 outputs
Outputs of similar age from Malaria Journal
#108
of 116 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 116 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.