| Title |
Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults
|
|---|---|
| Published in |
Aging, September 2022
|
| DOI | 10.18632/aging.204264 |
| Pubmed ID | |
| Authors |
Fedor Galkin, Kirill Kochetov, Diana Koldasbayeva, Manuel Faria, Helene H Fung, Amber X Chen, Alex Zhavoronkov |
X Demographics
The data shown below were collected from the profiles of 206 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 | 33 | 16% |
| United Kingdom | 8 | 4% |
| Netherlands | 7 | 3% |
| Australia | 6 | 3% |
| Japan | 6 | 3% |
| Chile | 5 | 2% |
| Spain | 5 | 2% |
| India | 4 | 2% |
| Mexico | 3 | 1% |
| Other | 29 | 14% |
| Unknown | 100 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 165 | 80% |
| Practitioners (doctors, other healthcare professionals) | 20 | 10% |
| Scientists | 17 | 8% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Professor | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Nursing and Health Professions | 2 | 7% |
| Sports and Recreations | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 14 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 598. 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 April 2024.
All research outputs
#39,055
of 25,782,917 outputs
Outputs from Aging
#9
of 4,182 outputs
Outputs of similar age
#1,242
of 438,456 outputs
Outputs of similar age from Aging
#1
of 99 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. 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 438,456 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 99% of its contemporaries.
We're also able to compare this research output to 99 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 98% of its contemporaries.