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Mendeley readers
Attention Score in Context
| Title |
From cellular senescence to age-associated diseases: the miRNA connection
|
|---|---|
| Published in |
Longevity & Healthspan, December 2012
|
| DOI | 10.1186/2046-2395-1-1 |
| Pubmed ID | |
| Authors |
Elisabeth Schraml, Johannes Grillari |
| Abstract |
Cellular senescence has evolved from an in-vitro model system to study aging in vitro to a multifaceted phenomenon of in-vivo importance as senescent cells in vivo have been identified and their removal delays the onset of age-associated diseases in a mouse model system. From the large emerging class of non-coding RNAs, miRNAs have only recently been functionally implied in the regulatory networks that are modified during the aging process. Here we summarize examples of similarities between the differential expression of miRNAs during senescence and age-associated diseases and suggest that these similarities might emphasize the importance of senescence for the pathogenesis of age-associated diseases. Understanding such a connection on the level of miRNAs might offer valuable opportunities for designing novel diagnostic and therapeutic strategies. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 30% |
| Researcher | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 40% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Psychology | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 03 January 2019.
All research outputs
#2,162,731
of 22,675,759 outputs
Outputs from Longevity & Healthspan
#12
of 26 outputs
Outputs of similar age
#21,697
of 277,608 outputs
Outputs of similar age from Longevity & Healthspan
#2
of 5 outputs
Altmetric has tracked 22,675,759 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 26 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one scored the same or higher as 14 of them.
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 277,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.