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Confocal Laser Scanning Microscopy, a New In Vivo Diagnostic Tool for Schistosomiasis

Overview of attention for article published in PLOS ONE, April 2012
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Title
Confocal Laser Scanning Microscopy, a New In Vivo Diagnostic Tool for Schistosomiasis
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034869
Pubmed ID
Authors

Carlos Fritzsche, Oliver Stachs, Martha Charlotte Holtfreter, Constanze Nohr-Łuczak, Rudolf Friedrich Guthoff, Emil Christian Reisinger

Abstract

The gold standard for the diagnosis of schistosomiasis is the detection of the parasite's characteristic eggs in urine, stool, or rectal and bladder biopsy specimens. Direct detection of eggs is difficult and not always possible in patients with low egg-shedding rates. Confocal laser scanning microscopy (CLSM) permits non-invasive cell imaging in vivo and is an established way of obtaining high-resolution images and 3-dimensional reconstructions. Recently, CLSM was shown to be a suitable method to visualize Schistosoma mansoni eggs within the mucosa of dissected mouse gut. In this case, we evaluated the suitability of CLSM to detect eggs of Schistosoma haematobium in a patient with urinary schistosomiasis and low egg-shedding rates.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 23%
Student > Bachelor 6 17%
Other 4 11%
Student > Doctoral Student 2 6%
Lecturer 2 6%
Other 7 20%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Physics and Astronomy 2 6%
Other 5 14%
Unknown 8 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 18 April 2012.
All research outputs
#18,305,445
of 22,664,267 outputs
Outputs from PLOS ONE
#153,773
of 193,506 outputs
Outputs of similar age
#124,936
of 161,948 outputs
Outputs of similar age from PLOS ONE
#2,886
of 3,728 outputs
Altmetric has tracked 22,664,267 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 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 161,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,728 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.