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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SIRT6 Is Responsible for More Efficient DNA Double-Strand Break Repair in Long-Lived Species
|
|---|---|
| Published in |
Cell, April 2019
|
| DOI | 10.1016/j.cell.2019.03.043 |
| Pubmed ID | |
| Authors |
Xiao Tian, Denis Firsanov, Zhihui Zhang, Yang Cheng, Lingfeng Luo, Gregory Tombline, Ruiyue Tan, Matthew Simon, Steven Henderson, Janine Steffan, Audrey Goldfarb, Jonathan Tam, Kitty Zheng, Adam Cornwell, Adam Johnson, Jiang-Nan Yang, Zhiyong Mao, Bruno Manta, Weiwei Dang, Zhengdong Zhang, Jan Vijg, Aaron Wolfe, Kelsey Moody, Brian K. Kennedy, Dirk Bohmann, Vadim N. Gladyshev, Andrei Seluanov, Vera Gorbunova |
X Demographics
The data shown below were collected from the profiles of 125 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 | 45 | 36% |
| Spain | 5 | 4% |
| United Kingdom | 5 | 4% |
| Germany | 5 | 4% |
| Japan | 3 | 2% |
| Venezuela, Bolivarian Republic of | 2 | 2% |
| Argentina | 2 | 2% |
| Poland | 2 | 2% |
| Australia | 2 | 2% |
| Other | 12 | 10% |
| Unknown | 42 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 58% |
| Scientists | 46 | 37% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 363 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 18% |
| Student > Ph. D. Student | 55 | 15% |
| Student > Bachelor | 44 | 12% |
| Student > Master | 36 | 10% |
| Professor | 15 | 4% |
| Other | 54 | 15% |
| Unknown | 94 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 143 | 39% |
| Agricultural and Biological Sciences | 52 | 14% |
| Medicine and Dentistry | 13 | 4% |
| Neuroscience | 10 | 3% |
| Immunology and Microbiology | 7 | 2% |
| Other | 28 | 8% |
| Unknown | 110 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 230. 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 28 April 2024.
All research outputs
#169,518
of 25,846,867 outputs
Outputs from Cell
#954
of 17,301 outputs
Outputs of similar age
#3,502
of 365,781 outputs
Outputs of similar age from Cell
#26
of 174 outputs
Altmetric has tracked 25,846,867 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 17,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. This one has done particularly well, scoring higher than 94% 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 365,781 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 174 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.