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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-Coding RNAs in Stroke and Neuroprotection
|
|---|---|
| Published in |
Frontiers in Neurology, March 2015
|
| DOI | 10.3389/fneur.2015.00050 |
| Pubmed ID | |
| Authors |
Julie A. Saugstad |
| Abstract |
This review will focus on the current state of knowledge regarding non-coding RNAs (ncRNA) in stroke and neuroprotection. There will be a brief introduction to microRNAs (miRNA), long ncRNAs (lncRNA), and piwi-interacting RNAs (piRNA), followed by evidence for the regulation of ncRNAs in ischemia. This review will also discuss the effect of neuroprotection induced by a sublethal duration of ischemia or other stimuli given before a stroke (preconditioning) on miRNA expression and the role of miRNAs in preconditioning-induced neuroprotection. Experimental manipulation of miRNAs and/or their targets to induce pre- or post-stroke protection will also be presented, as well as discussion on miRNA responses to current post-stroke therapies. This review will conclude with a brief discussion of future directions for ncRNAs studies in stroke, such as new approaches to model complex ncRNA datasets, challenges in ncRNA studies, and the impact of extracellular RNAs on human diseases such as stroke. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Japan | 1 | 1% |
| Hungary | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 79 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 21% |
| Student > Ph. D. Student | 15 | 18% |
| Student > Postgraduate | 11 | 13% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 6 | 7% |
| Other | 14 | 17% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 24% |
| Medicine and Dentistry | 16 | 19% |
| Biochemistry, Genetics and Molecular Biology | 13 | 15% |
| Neuroscience | 12 | 14% |
| Unspecified | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 18 | 21% |
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 13 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Frontiers in Neurology
#8,689
of 11,668 outputs
Outputs of similar age
#220,475
of 260,871 outputs
Outputs of similar age from Frontiers in Neurology
#69
of 82 outputs
Altmetric has tracked 22,794,367 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.
So far Altmetric has tracked 11,668 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% 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 260,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.