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Circulating inflamma-miRs in aging and age-related diseases

Overview of attention for article published in Frontiers in Genetics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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6 X users
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1 peer review site

Citations

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160 Dimensions

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154 Mendeley
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Title
Circulating inflamma-miRs in aging and age-related diseases
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00121
Pubmed ID
Authors

Fabiola Olivieri, Maria R. Rippo, Antonio D. Procopio, Francesca Fazioli

Abstract

Evidence on circulating microRNAs (miRNAs) is indisputably opening a new era in systemic and tissue-specific biomarker research, highlighting new inter-cellular and inter-organ communication mechanisms. Circulating miRNAs might be active messengers eliciting a systemic response as well as non-specific "by-products" of cell activity and even of cell death; in either case they have the potential to be clinically relevant biomarkers for a number of physiopathological processes, including inflammatory responses and inflammation-related conditions. A large amount of evidence indicates that miRNAs can exert two opposite roles, activating as well as inhibiting inflammatory pathways. The inhibitory action probably relates to the need for activating anti-inflammatory mechanisms to counter potent proinflammatory signals, like the nuclear factor kappaB (NF-κB) pathway, to prevent cell and tissue destruction. MiRNA-based anti-inflammatory mechanisms may acquire a crucial role during aging, where a chronic, low-level proinflammatory status is likely sustained by the cell senescence secretome and by progressive activation of immune cells over time. This process entails age-related changes, especially in extremely old age, in those circulating miRNAs that are capable of modulating the inflammatory status (inflamma-miRs). Interestingly, a number of such circulating miRNAs seem to be promising biomarkers for the major age-related diseases that share a common chronic, low-level proinflammatory status, such as cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), Alzheimer Disease (AD), rheumatoid arthritis (RA), and cancers.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
Canada 2 1%
Italy 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Austria 1 <1%
Unknown 144 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 25%
Student > Ph. D. Student 34 22%
Student > Bachelor 17 11%
Student > Master 12 8%
Student > Doctoral Student 11 7%
Other 21 14%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 27%
Biochemistry, Genetics and Molecular Biology 32 21%
Medicine and Dentistry 23 15%
Neuroscience 8 5%
Nursing and Health Professions 4 3%
Other 17 11%
Unknown 28 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2014.
All research outputs
#6,707,536
of 22,712,476 outputs
Outputs from Frontiers in Genetics
#2,014
of 11,756 outputs
Outputs of similar age
#73,280
of 280,743 outputs
Outputs of similar age from Frontiers in Genetics
#85
of 319 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 11,756 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 280,743 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 73% of its contemporaries.
We're also able to compare this research output to 319 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 73% of its contemporaries.