| Title |
Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience
|
|---|---|
| Published in |
Aging, March 2021
|
| DOI | 10.18632/aging.202816 |
| Pubmed ID | |
| Authors |
Timothy V Pyrkov, Ilya S Sokolov, Peter O Fedichev |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Other | 3 | 6% |
| Unspecified | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 23 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Engineering | 5 | 10% |
| Computer Science | 3 | 6% |
| Unspecified | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 25 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 16 April 2024.
All research outputs
#875,870
of 25,726,194 outputs
Outputs from Aging
#261
of 4,167 outputs
Outputs of similar age
#24,802
of 455,508 outputs
Outputs of similar age from Aging
#6
of 270 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 93% 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 455,508 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 94% of its contemporaries.
We're also able to compare this research output to 270 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 97% of its contemporaries.