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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Role of lncRNAs in Cellular Aging
|
|---|---|
| Published in |
Frontiers in endocrinology, December 2016
|
| DOI | 10.3389/fendo.2016.00151 |
| Pubmed ID | |
| Authors |
Ufuk Degirmenci, Sun Lei |
| Abstract |
Aging is a universal, intrinsic, and time-dependent biological decay that is linked to intricate cellular processes including cellular senescence, telomere shortening, stem cell exhaustion, mitochondrial dysfunction, and deregulated metabolism. Cellular senescence is accepted as one of the core processes of aging at the organism level. Understanding the molecular mechanism underlying senescence could facilitate the development of potential therapeutics for aging and age-related diseases. Recently, the discovery of long non-coding RNAs (lncRNA) provided insights into a novel regulatory layer that can intervene with cellular senescence. Increasing evidence indicates that targeting lncRNAs may impact on senescence pathways. In this review, we will focus on lncRNAs involved in mechanistic pathways governing cellular senescence. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 33% |
| United States | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 20% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Bachelor | 7 | 10% |
| Professor > Associate Professor | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 35% |
| Agricultural and Biological Sciences | 13 | 19% |
| Medicine and Dentistry | 5 | 7% |
| Neuroscience | 3 | 4% |
| Immunology and Microbiology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 20 | 29% |
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 09 March 2018.
All research outputs
#14,337,104
of 25,460,914 outputs
Outputs from Frontiers in endocrinology
#2,738
of 13,105 outputs
Outputs of similar age
#208,688
of 420,830 outputs
Outputs of similar age from Frontiers in endocrinology
#13
of 40 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,105 research outputs from this source. They receive a mean Attention Score of 4.9. 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 420,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 67% of its contemporaries.