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Highly specific and efficient primers for in-house multiplex PCR detection of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma hominis and Ureaplasma urealyticum

Overview of attention for article published in BMC Research Notes, July 2014
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1 X user

Citations

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Title
Highly specific and efficient primers for in-house multiplex PCR detection of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma hominis and Ureaplasma urealyticum
Published in
BMC Research Notes, July 2014
DOI 10.1186/1756-0500-7-433
Pubmed ID
Authors

Ma Guadalupe Aguilera-Arreola, Ana María González-Cardel, Alfonso Méndez Tenorio, Everardo Curiel-Quesada, Graciela Castro-Escarpulli

Abstract

Although sophisticated methodologies are available, the use of endpoint polymerase chain reaction (PCR) to detect 16S rDNA genes remains a good approach for estimating the incidence and prevalence of specific infections and for monitoring infections. Considering the importance of the early diagnosis of sexually transmitted infections (STIs), the development of a sensitive and affordable method for identifying pathogens in clinical samples is needed. Highly specific and efficient primers for a multiplex polymerase chain reaction (m-PCR) system were designed in silico to detect the 16S rDNA genes of four bacteria that cause genital infections, and the PCR method was developed.

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

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 20%
Student > Master 12 16%
Student > Bachelor 11 15%
Student > Ph. D. Student 7 9%
Other 6 8%
Other 13 17%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 23%
Medicine and Dentistry 12 16%
Biochemistry, Genetics and Molecular Biology 10 13%
Immunology and Microbiology 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 10 13%
Unknown 14 19%
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 23 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from BMC Research Notes
#3,015
of 4,262 outputs
Outputs of similar age
#163,244
of 227,465 outputs
Outputs of similar age from BMC Research Notes
#73
of 113 outputs
Altmetric has tracked 22,758,963 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 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 227,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.