| Title |
Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations
|
|---|---|
| Published in |
Aging, April 2023
|
| DOI | 10.18632/aging.204666 |
| Pubmed ID | |
| Authors |
Noah Wechter, Martina Rossi, Carlos Anerillas, Dimitrios Tsitsipatis, Yulan Piao, Jinshui Fan, Jennifer L Martindale, Supriyo De, Krystyna Mazan-Mamczarz, Myriam Gorospe |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Professor | 3 | 17% |
| Researcher | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 39% |
| Engineering | 2 | 11% |
| Linguistics | 1 | 6% |
| Unspecified | 1 | 6% |
| Neuroscience | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 14 July 2023.
All research outputs
#500,199
of 24,262,436 outputs
Outputs from Aging
#114
of 3,836 outputs
Outputs of similar age
#10,879
of 395,430 outputs
Outputs of similar age from Aging
#15
of 100 outputs
Altmetric has tracked 24,262,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done particularly well, scoring higher than 97% 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 395,430 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 97% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.