| Title |
Single nuclei profiling identifies cell specific markers of skeletal muscle aging, frailty, and senescence
|
|---|---|
| Published in |
Aging, December 2022
|
| DOI | 10.18632/aging.204435 |
| Pubmed ID | |
| Authors |
Kevin Perez, Serban Ciotlos, Julia McGirr, Chandani Limbad, Ryosuke Doi, Joshua P Nederveen, Mats I Nilsson, Daniel A Winer, William Evans, Mark Tarnopolsky, Judith Campisi, Simon Melov |
X Demographics
The data shown below were collected from the profiles of 30 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 | 10 | 33% |
| Norway | 2 | 7% |
| United Kingdom | 2 | 7% |
| France | 1 | 3% |
| Japan | 1 | 3% |
| India | 1 | 3% |
| Australia | 1 | 3% |
| Chile | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 63% |
| Scientists | 8 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 20% |
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 25 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 36% |
| Medicine and Dentistry | 6 | 9% |
| Agricultural and Biological Sciences | 5 | 7% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 25 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 112. 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 January 2023.
All research outputs
#368,174
of 25,099,766 outputs
Outputs from Aging
#79
of 4,055 outputs
Outputs of similar age
#8,990
of 480,337 outputs
Outputs of similar age from Aging
#6
of 81 outputs
Altmetric has tracked 25,099,766 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 4,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 98% 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 480,337 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 81 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 93% of its contemporaries.