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NF-κB pathway activators as potential ageing biomarkers: targets for new therapeutic strategies

Overview of attention for article published in Immunity & Ageing, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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83 Dimensions

Readers on

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139 Mendeley
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Title
NF-κB pathway activators as potential ageing biomarkers: targets for new therapeutic strategies
Published in
Immunity & Ageing, June 2013
DOI 10.1186/1742-4933-10-24
Pubmed ID
Authors

Carmela R Balistreri, Giuseppina Candore, Giulia Accardi, Giuseppina Colonna-Romano, Domenico Lio

Abstract

Chronic inflammation is a major biological mechanism underpinning biological ageing process and age-related diseases. Inflammation is also the key response of host defense against pathogens and tissue injury. Current opinion sustains that during evolution the host defense and ageing process have become linked together. Thus, the large array of defense factors and mechanisms linked to the NF-κB system seem to be involved in ageing process. This concept leads us in proposing inductors of NF-κB signaling pathway as potential ageing biomarkers. On the other hand, ageing biomarkers, represented by biological indicators and selected through apposite criteria, should help to characterize biological age and, since age is a major risk factor in many degenerative diseases, could be subsequently used to identify individuals at high risk of developing age-associated diseases or disabilities. In this report, some inflammatory biomarkers will be discussed for a better understanding of the concept of biological ageing, providing ideas on eventual working hypothesis about potential targets for the development of new therapeutic strategies and improving, as consequence, the quality of life of elderly population.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 134 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 18%
Student > Ph. D. Student 23 17%
Student > Master 18 13%
Student > Bachelor 14 10%
Student > Doctoral Student 8 6%
Other 23 17%
Unknown 28 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 27%
Biochemistry, Genetics and Molecular Biology 23 17%
Medicine and Dentistry 21 15%
Immunology and Microbiology 5 4%
Neuroscience 4 3%
Other 16 12%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 November 2013.
All research outputs
#2,578,038
of 22,729,647 outputs
Outputs from Immunity & Ageing
#70
of 370 outputs
Outputs of similar age
#22,972
of 196,731 outputs
Outputs of similar age from Immunity & Ageing
#4
of 9 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 80% 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 196,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.