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Next-Generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Neurocysticercosis

Overview of attention for article published in Frontiers in Neurology, June 2018
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Title
Next-Generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Neurocysticercosis
Published in
Frontiers in Neurology, June 2018
DOI 10.3389/fneur.2018.00471
Pubmed ID
Authors

Siyuan Fan, Xiaodong Qiao, Lei Liu, Honglong Wu, Jiali Zhou, Ruixue Sun, Qing Chen, Yan Huang, Chenhui Mao, Jing Yuan, Qiang Lu, Ying Ge, Yongjun Li, Haitao Ren, Jiawei Wang, Liying Cui, Weili Zhao, Hongzhi Guan

Abstract

Background: Neurocysticercosis (NCC) is the most common helminthic infection of the central nervous system (CNS). The diagnosis of NCC is sometimes challenging due to its heterogenous clinical manifestations and the variable sensitivity and specificity of neuroimaging and serological tests. Methods: Next-generation sequencing (NGS) of cerebrospinal fluid (CSF) was used to detect pathogens in patients with clinically suspected CNS infections. A series of patients diagnosed with NCC is reviewed here. Results: Using NGS of CSF, four patients were diagnosed with NCC. The reads corresponding to Taenia solium ranged from 478 to 117,362, with genomic coverage of 0.0564-11.15%. Reads corresponding to T. solium were not found in non-template controls and far exceeded those of the background microorganisms in patients with NCC, facilitating the interpretation of the NGS results. Conclusions: This case series demonstrates that NGS of CSF is promising in the diagnosis of NCC in difficult to diagnose cases. Larger studies are needed in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Other 2 5%
Student > Master 2 5%
Other 4 9%
Unknown 17 40%
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 4 9%
Immunology and Microbiology 4 9%
Arts and Humanities 2 5%
Other 5 12%
Unknown 18 42%
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 22 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Frontiers in Neurology
#9,014
of 12,007 outputs
Outputs of similar age
#287,383
of 328,040 outputs
Outputs of similar age from Frontiers in Neurology
#249
of 322 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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