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Mendeley readers
Attention Score in Context
| Title |
Modulation of senoinflammation by calorie restriction based on biochemical and Omics big data analysis
|
|---|---|
| Published in |
BMB reports, January 2019
|
| DOI | 10.5483/bmbrep.2019.52.1.301 |
| Pubmed ID | |
| Authors |
EunJin Bang, Bonggi Lee, Sang-Gyun Noh, Dae Hyun Kim, Hee Jin Jung, Sugyeong Ha, Byung Pal Yu, Hae Young Chung |
| Abstract |
Aging is a complex and progressive process characterized by physiological and functional decline with time that increases susceptibility to diseases. Aged-related functional change is accompanied by a low-grade, unresolved chronic inflammation as a major underlying mechanism. In order to explain aging in the context of chronic inflammation, a new integrative concept on age-related chronic inflammation is necessary that encompasses much broader and wider characteristics of cells, tissues, organs, systems, and interactions between immune and non-immune cells, metabolic and non-metabolic organs. We have previously proposed a novel concept of senescent (seno)-inflammation and provided its frameworks. This review summarizes senoinflammation concept and additionally elaborates modulation of senoinflammation by calorie restriction (CR). Based on aging and CR studies and systems-biological analysis of Omics big data, we observed that senescence associated secretory phenotype (SASP) primarily composed of cytokines and chemokines was notably upregulated during aging whereas CR suppressed them. This result further strengthens the novel concept of senoinflammation in aging process. Collectively, such evidence of senoinflammation and modulatory role of CR provide insights into aging mechanism and potential interventions, thereby promoting healthy longevity. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 4 | 19% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 5 | 24% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 July 2020.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from BMB reports
#603
of 799 outputs
Outputs of similar age
#340,064
of 446,772 outputs
Outputs of similar age from BMB reports
#12
of 17 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 799 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 446,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.