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Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database

Overview of attention for article published in Parasites & Vectors, October 2013
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Title
Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database
Published in
Parasites & Vectors, October 2013
DOI 10.1186/1756-3305-6-300
Pubmed ID
Authors

Travis C Glenn, Stacey L Lance, Anna M McKee, Bonnie L Webster, Aidan M Emery, Adhemar Zerlotini, Guilherme Oliveira, David Rollinson, Brant C Faircloth

Abstract

Urogenital schistosomiasis caused by Schistosoma haematobium is widely distributed across Africa and is increasingly being targeted for control. Genome sequences and population genetic parameters can give insight into the potential for population- or species-level drug resistance. Microsatellite DNA loci are genetic markers in wide use by Schistosoma researchers, but there are few primers available for S. haematobium.

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

Geographical breakdown

Country Count As %
Uruguay 2 3%
Brazil 2 3%
France 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 16%
Researcher 11 14%
Student > Master 10 13%
Student > Bachelor 5 6%
Lecturer 5 6%
Other 16 20%
Unknown 19 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 28%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 9 11%
Immunology and Microbiology 7 9%
Engineering 3 4%
Other 10 13%
Unknown 18 23%
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 01 September 2014.
All research outputs
#20,235,415
of 22,761,738 outputs
Outputs from Parasites & Vectors
#4,836
of 5,453 outputs
Outputs of similar age
#185,253
of 211,949 outputs
Outputs of similar age from Parasites & Vectors
#59
of 66 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,453 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 1st percentile – i.e., 1% 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 211,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 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.