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Plasma long non-coding RNA BACE1 as a novel biomarker for diagnosis of Alzheimer disease

Overview of attention for article published in BMC Neurology, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Plasma long non-coding RNA BACE1 as a novel biomarker for diagnosis of Alzheimer disease
Published in
BMC Neurology, January 2018
DOI 10.1186/s12883-017-1008-x
Pubmed ID
Authors

Liang Feng, Yu-Ting Liao, Jin-Cai He, Cheng-Long Xie, Si-Yan Chen, Hui-Hui Fan, Zhi-Peng Su, Zhen Wang

Abstract

Long non-coding RNA (LncRNA) have been reported to be involved in the pathogenesis of neurodegenerative diseases, but whether it can serve as a biomarker for Alzheimer disease (AD) is not yet known. The present study selected four specific LncRNA (17A, 51A, BACE1 and BC200) as possible AD biomarker. RT-qPCR was performed to validate the LncRNA. Receiver operating characteristic curve (ROC) and area under the ROC curve (AUC) were applied to study the potential of LncRNA as a biomarker in a population of 88 AD patients and 72 control individuals. We found that the plasma LncRNA BACE1 level of AD patients was significantly higher than that of healthy controls (p = 0.006). Plasma level of LncRNA 17A, 51A and BC200 did not show a significant difference between two groups (p = 0.098, p = 0.204 and p = 0.232, respectively). ROC curve analysis showed that LncRNA BACE1 was the best candidate of these LncRNA (95% CI: 0.553-0.781, p = 0.003). In addition, no correlation was found for expression of these LncRNA in both control and AD groups with age or MMSE scale (p > 0.05). Our present study compared the plasma level of four LncRNA between AD and non-AD patients, and found that the level of the BACE1 is increased in the plasma of AD patients and have a high specificity (88%) for AD, indicating BACE1 may be a potential candidate biomarker to predict AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 15%
Student > Master 13 14%
Student > Ph. D. Student 11 12%
Researcher 10 11%
Other 7 8%
Other 7 8%
Unknown 30 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 25%
Neuroscience 11 12%
Medicine and Dentistry 8 9%
Agricultural and Biological Sciences 5 5%
Immunology and Microbiology 3 3%
Other 9 10%
Unknown 33 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 2023.
All research outputs
#4,301,826
of 24,257,963 outputs
Outputs from BMC Neurology
#509
of 2,584 outputs
Outputs of similar age
#89,992
of 451,316 outputs
Outputs of similar age from BMC Neurology
#5
of 24 outputs
Altmetric has tracked 24,257,963 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,584 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 80% 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 451,316 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 80% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.