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A quantitative PCR (TaqMan) assay for pathogenic Leptospira spp

Overview of attention for article published in BMC Infectious Diseases, July 2002
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

patent
4 patents

Citations

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236 Dimensions

Readers on

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254 Mendeley
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Title
A quantitative PCR (TaqMan) assay for pathogenic Leptospira spp
Published in
BMC Infectious Diseases, July 2002
DOI 10.1186/1471-2334-2-13
Pubmed ID
Authors

Lee D Smythe, Ina L Smith, Greg A Smith, Michael F Dohnt, Meegan L Symonds, Leonie J Barnett, David B McKay

Abstract

Leptospirosis is an emerging infectious disease. The differential diagnosis of leptospirosis is difficult due to the varied and often "flu like" symptoms which may result in a missed or delayed diagnosis. There are over 230 known serovars in the genus Leptospira. Confirmatory serological diagnosis of leptospirosis is usually made using the microscopic agglutination test (MAT) which relies on the use of live cultures as the source of antigen, often performed using a panel of antigens representative of local serovars. Other techniques, such as the enzyme linked immunosorbent assay (ELISA) and slide agglutination test (SAT), can detect different classes of antibody but may be subject to false positive reactions and require confirmation of these results by the MAT. The polymerase chain reaction (PCR) has been used to detect a large number of microorganisms, including those of clinical significance. The sensitivity of PCR often precludes the need for isolation and culture, thus making it ideal for the rapid detection of organisms involved in acute infections. We employed real-time (quantitative) PCR using TaqMan chemistry to detect leptospires in clinical and environmental samples. The PCR assay can be applied to either blood or urine samples and does not rely on the isolation and culture of the organism. Capability exists for automation and high throughput testing in a clinical laboratory. It is specific for Leptospira and may discriminate pathogenic and non-pathogenic species. The limit of detection is as low as two cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Brazil 2 <1%
United Kingdom 2 <1%
Uruguay 1 <1%
Colombia 1 <1%
Canada 1 <1%
French Polynesia 1 <1%
Egypt 1 <1%
Madagascar 1 <1%
Other 0 0%
Unknown 241 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 18%
Student > Master 36 14%
Student > Ph. D. Student 35 14%
Student > Bachelor 21 8%
Student > Doctoral Student 20 8%
Other 48 19%
Unknown 49 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 32%
Medicine and Dentistry 33 13%
Veterinary Science and Veterinary Medicine 27 11%
Biochemistry, Genetics and Molecular Biology 17 7%
Immunology and Microbiology 15 6%
Other 24 9%
Unknown 57 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 May 2022.
All research outputs
#3,286,159
of 22,867,327 outputs
Outputs from BMC Infectious Diseases
#1,099
of 7,687 outputs
Outputs of similar age
#4,136
of 44,555 outputs
Outputs of similar age from BMC Infectious Diseases
#2
of 3 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,687 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 85% of its peers.
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 44,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.