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Laboratory Diagnosis of Central Nervous System Infection

Overview of attention for article published in Current Infectious Disease Reports, September 2016
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Title
Laboratory Diagnosis of Central Nervous System Infection
Published in
Current Infectious Disease Reports, September 2016
DOI 10.1007/s11908-016-0545-6
Pubmed ID
Authors

Taojun He, Samuel Kaplan, Mini Kamboj, Yi-Wei Tang

Abstract

Central nervous system (CNS) infections are potentially life threatening if not diagnosed and treated early. The initial clinical presentations of many CNS infections are non-specific, making a definitive etiologic diagnosis challenging. Nucleic acid in vitro amplification-based molecular methods are increasingly being applied for routine microbial detection. These methods are a vast improvement over conventional techniques with the advantage of rapid turnaround and higher sensitivity and specificity. Additionally, molecular methods performed on cerebrospinal fluid samples are considered the new gold standard for diagnosis of CNS infection caused by pathogens, which are otherwise difficult to detect. Commercial diagnostic platforms offer various monoplex and multiplex PCR assays for convenient testing of targets that cause similar clinical illness. Pan-omic molecular platforms possess potential for use in this area. Although molecular methods are predicted to be widely used in diagnosing and monitoring CNS infections, results generated by these methods need to be carefully interpreted in combination with clinical findings. This review summarizes the currently available armamentarium of molecular assays for diagnosis of central nervous system infections, their application, and future approaches.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 11%
Student > Bachelor 14 11%
Student > Master 12 10%
Other 11 9%
Student > Ph. D. Student 10 8%
Other 18 15%
Unknown 43 35%
Readers by discipline Count As %
Medicine and Dentistry 31 25%
Immunology and Microbiology 13 11%
Biochemistry, Genetics and Molecular Biology 11 9%
Neuroscience 9 7%
Arts and Humanities 2 2%
Other 7 6%
Unknown 49 40%
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 15 August 2020.
All research outputs
#18,478,448
of 22,896,955 outputs
Outputs from Current Infectious Disease Reports
#398
of 487 outputs
Outputs of similar age
#244,736
of 322,506 outputs
Outputs of similar age from Current Infectious Disease Reports
#9
of 9 outputs
Altmetric has tracked 22,896,955 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 487 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 7th percentile – i.e., 7% 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 322,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.