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Differentiating Entamoeba histolytica, Entamoeba dispar and Entamoeba moshkovskii using nested polymerase chain reaction (PCR) in rural communities in Malaysia

Overview of attention for article published in Parasites & Vectors, September 2012
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1 X user

Citations

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Title
Differentiating Entamoeba histolytica, Entamoeba dispar and Entamoeba moshkovskii using nested polymerase chain reaction (PCR) in rural communities in Malaysia
Published in
Parasites & Vectors, September 2012
DOI 10.1186/1756-3305-5-187
Pubmed ID
Authors

Romano Ngui, Lorainne Angal, Siti Aminah Fakhrurrazi, Yvonne Lim Ai Lian, Lau Yee Ling, Jamaiah Ibrahim, Rohela Mahmud

Abstract

In this study, a total of 426 human faecal samples were examined for the presence of Entamoeba histolytica, Entamoeba dispar, Entamoeba moshkovskii infection via a combination of microscopic examination and nested polymerase chain reaction (PCR) targeting 16S ribosomal RNA of Entamoeba species.

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

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Portugal 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 17%
Student > Master 17 15%
Researcher 10 9%
Student > Doctoral Student 8 7%
Other 6 5%
Other 22 19%
Unknown 32 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 19%
Medicine and Dentistry 17 15%
Biochemistry, Genetics and Molecular Biology 10 9%
Immunology and Microbiology 8 7%
Veterinary Science and Veterinary Medicine 5 4%
Other 13 11%
Unknown 39 34%
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 24 September 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from Parasites & Vectors
#4,193
of 5,430 outputs
Outputs of similar age
#128,983
of 169,085 outputs
Outputs of similar age from Parasites & Vectors
#38
of 52 outputs
Altmetric has tracked 22,679,690 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.
So far Altmetric has tracked 5,430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 11th percentile – i.e., 11% 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 169,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.