↓ Skip to main content

Comparison of three methods for detection of gametocytes in Melanesian children treated for uncomplicated malaria

Overview of attention for article published in Malaria Journal, August 2014
Altmetric Badge

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
72 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparison of three methods for detection of gametocytes in Melanesian children treated for uncomplicated malaria
Published in
Malaria Journal, August 2014
DOI 10.1186/1475-2875-13-319
Pubmed ID
Authors

Stephan Karl, Moses Laman, Tamarah Koleala, Clemencia Ibam, Bernadine Kasian, Nola N’Drewei, Anna Rosanas-Urgell, Brioni R Moore, Andreea Waltmann, Cristian Koepfli, Peter M Siba, Inoni Betuela, Robert C Woodward, Timothy G St Pierre, Ivo Mueller, Timothy ME Davis

Abstract

Gametocytes are the transmission stages of Plasmodium parasites, the causative agents of malaria. As their density in the human host is typically low, they are often undetected by conventional light microscopy. Furthermore, application of RNA-based molecular detection methods for gametocyte detection remains challenging in remote field settings. In the present study, a detailed comparison of three methods, namely light microscopy, magnetic fractionation and reverse transcriptase polymerase chain reaction for detection of Plasmodium falciparum and Plasmodium vivax gametocytes was conducted.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Madagascar 2 3%
United States 2 3%
Brazil 1 1%
Tanzania, United Republic of 1 1%
United Kingdom 1 1%
Unknown 65 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 17 24%
Student > Master 8 11%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 25%
Medicine and Dentistry 18 25%
Biochemistry, Genetics and Molecular Biology 7 10%
Immunology and Microbiology 2 3%
Physics and Astronomy 2 3%
Other 11 15%
Unknown 14 19%