| Title |
A chronic wound model to investigate skin cellular senescence
|
|---|---|
| Published in |
Aging, April 2023
|
| DOI | 10.18632/aging.204667 |
| Pubmed ID | |
| Authors |
Saranya P Wyles, Parisa Dashti, Tamar Pirtskhalava, Burak Tekin, Christina Inman, Lilian Sales Gomez, Anthony B Lagnado, Larissa Prata, Diana Jurk, João F Passos, Tamar Tchkonia, James L Kirkland |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 19% |
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 29% |
| Medicine and Dentistry | 4 | 19% |
| Engineering | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Unknown | 8 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 01 August 2023.
All research outputs
#457,831
of 24,221,802 outputs
Outputs from Aging
#99
of 3,831 outputs
Outputs of similar age
#10,043
of 393,878 outputs
Outputs of similar age from Aging
#10
of 98 outputs
Altmetric has tracked 24,221,802 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 3,831 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 393,878 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 98 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 90% of its contemporaries.