The data shown below were collected from the profiles of 2,195 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chemically induced reprogramming to reverse cellular aging
|
|---|---|
| Published in |
Aging, July 2023
|
| DOI | 10.18632/aging.204896 |
| Pubmed ID | |
| Authors |
Jae-Hyun Yang, Christopher A Petty, Thomas Dixon-McDougall, Maria Vina Lopez, Alexander Tyshkovskiy, Sun Maybury-Lewis, Xiao Tian, Nabilah Ibrahim, Zhili Chen, Patrick T Griffin, Matthew Arnold, Jien Li, Oswaldo A Martinez, Alexander Behn, Ryan Rogers-Hammond, Suzanne Angeli, Vadim N Gladyshev, David A Sinclair |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 235 | 11% |
| India | 74 | 3% |
| United Kingdom | 45 | 2% |
| Canada | 40 | 2% |
| Spain | 24 | 1% |
| Australia | 18 | <1% |
| Germany | 17 | <1% |
| Italy | 15 | <1% |
| Mexico | 14 | <1% |
| Other | 222 | 10% |
| Unknown | 1491 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1962 | 89% |
| Scientists | 150 | 7% |
| Practitioners (doctors, other healthcare professionals) | 55 | 3% |
| Science communicators (journalists, bloggers, editors) | 27 | 1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 19% |
| Student > Ph. D. Student | 14 | 11% |
| Other | 11 | 9% |
| Student > Bachelor | 8 | 7% |
| Professor | 5 | 4% |
| Other | 18 | 15% |
| Unknown | 44 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 38 | 31% |
| Medicine and Dentistry | 8 | 7% |
| Agricultural and Biological Sciences | 7 | 6% |
| Unspecified | 5 | 4% |
| Neuroscience | 5 | 4% |
| Other | 13 | 11% |
| Unknown | 47 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1938. 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 21 July 2024.
All research outputs
#5,163
of 26,377,159 outputs
Outputs from Aging
#1
of 4,263 outputs
Outputs of similar age
#141
of 374,431 outputs
Outputs of similar age from Aging
#1
of 98 outputs
Altmetric has tracked 26,377,159 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 4,263 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. 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 374,431 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 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 98% of its contemporaries.