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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing
|
|---|---|
| Published in |
Genome Medicine, August 2019
|
| DOI | 10.1186/s13073-019-0667-1 |
| Pubmed ID | |
| Authors |
Qian Zhang, Costanza L. Vallerga, Rosie M. Walker, Tian Lin, Anjali K. Henders, Grant W. Montgomery, Ji He, Dongsheng Fan, Javed Fowdar, Martin Kennedy, Toni Pitcher, John Pearson, Glenda Halliday, John B. Kwok, Ian Hickie, Simon Lewis, Tim Anderson, Peter A. Silburn, George D. Mellick, Sarah E. Harris, Paul Redmond, Alison D. Murray, David J. Porteous, Christopher S. Haley, Kathryn L. Evans, Andrew M. McIntosh, Jian Yang, Jacob Gratten, Riccardo E. Marioni, Naomi R. Wray, Ian J. Deary, Allan F. McRae, Peter M. Visscher |
X Demographics
The data shown below were collected from the profiles of 61 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 Kingdom | 15 | 25% |
| United States | 11 | 18% |
| Netherlands | 3 | 5% |
| Canada | 2 | 3% |
| Australia | 2 | 3% |
| Switzerland | 2 | 3% |
| Spain | 2 | 3% |
| Denmark | 1 | 2% |
| Russia | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 17 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 49% |
| Members of the public | 29 | 48% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 213 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 20% |
| Researcher | 31 | 15% |
| Student > Master | 19 | 9% |
| Student > Bachelor | 17 | 8% |
| Professor | 15 | 7% |
| Other | 27 | 13% |
| Unknown | 62 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 56 | 26% |
| Agricultural and Biological Sciences | 24 | 11% |
| Medicine and Dentistry | 21 | 10% |
| Neuroscience | 14 | 7% |
| Psychology | 7 | 3% |
| Other | 28 | 13% |
| Unknown | 63 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 11 May 2023.
All research outputs
#818,783
of 26,017,215 outputs
Outputs from Genome Medicine
#154
of 1,612 outputs
Outputs of similar age
#17,113
of 353,898 outputs
Outputs of similar age from Genome Medicine
#3
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 90% 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 353,898 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 95% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.