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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-coding RNA in neural function, disease, and aging
|
|---|---|
| Published in |
Frontiers in Genetics, January 2015
|
| DOI | 10.3389/fgene.2015.00087 |
| Pubmed ID | |
| Authors |
Kirk Szafranski, Karan J. Abraham, Karim Mekhail |
| Abstract |
Declining brain and neurobiological function is arguably one of the most common features of human aging. The study of conserved aging processes as well as the characterization of various neurodegenerative diseases using different genetic models such as yeast, fly, mouse, and human systems is uncovering links to non-coding RNAs. These links implicate a variety of RNA-regulatory processes, including microRNA function, paraspeckle formation, RNA-DNA hybrid regulation, nucleolar RNAs and toxic RNA clearance, amongst others. Here we highlight these connections and reveal over-arching themes or questions related to recently appreciated roles of non-coding RNA in neural function and dysfunction across lifespan. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 33% |
| India | 2 | 33% |
| Switzerland | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 167 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 24% |
| Researcher | 40 | 23% |
| Student > Master | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 13 | 8% |
| Other | 31 | 18% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 54 | 31% |
| Agricultural and Biological Sciences | 52 | 30% |
| Medicine and Dentistry | 16 | 9% |
| Neuroscience | 16 | 9% |
| Computer Science | 2 | 1% |
| Other | 9 | 5% |
| Unknown | 23 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 March 2015.
All research outputs
#7,455,902
of 22,794,367 outputs
Outputs from Frontiers in Genetics
#2,428
of 11,761 outputs
Outputs of similar age
#105,679
of 353,011 outputs
Outputs of similar age from Frontiers in Genetics
#49
of 118 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,761 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 78% 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 353,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.