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Next generation sequencing based pathogen analysis in a patient with neurocysticercosis: a case report

Overview of attention for article published in BMC Infectious Diseases, March 2018
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Title
Next generation sequencing based pathogen analysis in a patient with neurocysticercosis: a case report
Published in
BMC Infectious Diseases, March 2018
DOI 10.1186/s12879-018-3015-y
Pubmed ID
Authors

Ping Liu, Xing Weng, Jiajia Zhou, Xiaolin Xu, Fangping He, Yue Du, Honglong Wu, Yanping Gong, Guoping Peng

Abstract

Accurate and early diagnosis of neurocysticercosis (NCC) remains a challenge due to the heterogeneity of its clinical, immunological and imaging characteristics. The presence of cysticercus DNA in cerebrospinal fluid (CSF) of NCC patients has been previously detected via conventional PCR assays. To the best of our knowledge, the use of CSF Next-Generation Sequencing (NGS) based pathogen analysis in patients with NCC infection has never been reported. This study reports the clinical, imaging, and immunological features of a patient initially presenting with several months of headache who further developed a pure sensory stroke. NGS was used to detect the pathogen, and her CSF demonstrated the presence of Taenia solium-DNA. This finding was confirmed by a positive reaction to CSF cysticercosis antibodies. After antiparasitic treatment, secondary CSF NGS revealed the DNA index have dropped considerably compared to the initial NGS readings. NGS is a promising tool for the early and accurate diagnosis of central nervous system (CNS) infection, especially in the setting of atypical clinical manifestations. Further studies are required to evaluate the persistence of DNA in the CSF of patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 5 11%
Other 5 11%
Student > Ph. D. Student 5 11%
Lecturer 3 7%
Other 5 11%
Unknown 16 35%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Neuroscience 4 9%
Immunology and Microbiology 3 7%
Agricultural and Biological Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 15%
Unknown 17 37%
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 08 August 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from BMC Infectious Diseases
#5,656
of 7,725 outputs
Outputs of similar age
#258,069
of 331,979 outputs
Outputs of similar age from BMC Infectious Diseases
#90
of 135 outputs
Altmetric has tracked 23,026,672 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 7,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.