| Title |
Long noncoding RNAs and Alzheimer's disease
|
|---|---|
| Published in |
Clinical Interventions in Aging, June 2016
|
| DOI | 10.2147/cia.s107037 |
| Pubmed ID | |
| Authors |
Qiong Luo, Yinghui Chen |
| Abstract |
Long noncoding RNAs (lncRNAs) are typically defined as transcripts longer than 200 nucleotides. lncRNAs can regulate gene expression at epigenetic, transcriptional, and posttranscriptional levels. Recent studies have shown that lncRNAs are involved in many neurological diseases such as epilepsy, neurodegenerative conditions, and genetic disorders. Alzheimer's disease is a neurodegenerative disease, which accounts for >80% of dementia in elderly subjects. In this review, we will highlight recent studies investigating the role of lncRNAs in Alzheimer's disease and focus on some specific lncRNAs that may underlie Alzheimer's disease pathophysiology and therefore could be potential therapeutic targets. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Unknown | 131 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 20% |
| Researcher | 23 | 17% |
| Student > Bachelor | 16 | 12% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Doctoral Student | 7 | 5% |
| Other | 14 | 11% |
| Unknown | 33 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 36% |
| Agricultural and Biological Sciences | 20 | 15% |
| Neuroscience | 10 | 8% |
| Medicine and Dentistry | 9 | 7% |
| Computer Science | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 36 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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
#2,417,736
of 25,373,627 outputs
Outputs from Clinical Interventions in Aging
#260
of 1,968 outputs
Outputs of similar age
#41,647
of 353,651 outputs
Outputs of similar age from Clinical Interventions in Aging
#7
of 59 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 86% 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 353,651 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 88% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.