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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classifying aging as a disease in the context of ICD-11
|
|---|---|
| Published in |
Frontiers in Genetics, November 2015
|
| DOI | 10.3389/fgene.2015.00326 |
| Pubmed ID | |
| Authors |
Alex Zhavoronkov, Bhupinder Bhullar |
| Abstract |
Aging is a complex continuous multifactorial process leading to loss of function and crystalizing into the many age-related diseases. Here, we explore the arguments for classifying aging as a disease in the context of the upcoming World Health Organization's 11th International Statistical Classification of Diseases and Related Health Problems (ICD-11), expected to be finalized in 2018. We hypothesize that classifying aging as a disease with a "non-garbage" set of codes will result in new approaches and business models for addressing aging as a treatable condition, which will lead to both economic and healthcare benefits for all stakeholders. Actionable classification of aging as a disease may lead to more efficient allocation of resources by enabling funding bodies and other stakeholders to use quality-adjusted life years (QALYs) and healthy-years equivalent (HYE) as metrics when evaluating both research and clinical programs. We propose forming a Task Force to interface the WHO in order to develop a multidisciplinary framework for classifying aging as a disease with multiple disease codes facilitating for therapeutic interventions and preventative strategies. |
X Demographics
The data shown below were collected from the profiles of 34 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 | 9 | 26% |
| Switzerland | 2 | 6% |
| Netherlands | 2 | 6% |
| United Kingdom | 2 | 6% |
| Australia | 2 | 6% |
| Canada | 1 | 3% |
| Comoros | 1 | 3% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 79% |
| Scientists | 5 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| United States | 1 | <1% |
| Czechia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 98 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 23% |
| Researcher | 15 | 15% |
| Student > Bachelor | 12 | 12% |
| Student > Ph. D. Student | 11 | 11% |
| Other | 6 | 6% |
| Other | 19 | 19% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 19% |
| Agricultural and Biological Sciences | 15 | 15% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Psychology | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 20 | 20% |
| Unknown | 28 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 126. 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 10 May 2023.
All research outputs
#323,120
of 25,085,910 outputs
Outputs from Frontiers in Genetics
#42
of 13,489 outputs
Outputs of similar age
#4,590
of 291,616 outputs
Outputs of similar age from Frontiers in Genetics
#1
of 56 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,489 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 291,616 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 98% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.