You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epigenetic prediction of complex traits and death
|
|---|---|
| Published in |
Genome Biology, September 2018
|
| DOI | 10.1186/s13059-018-1514-1 |
| Pubmed ID | |
| Authors |
Daniel L. McCartney, Robert F. Hillary, Anna J. Stevenson, Stuart J. Ritchie, Rosie M. Walker, Qian Zhang, Stewart W. Morris, Mairead L. Bermingham, Archie Campbell, Alison D. Murray, Heather C. Whalley, Catharine R. Gale, David J. Porteous, Chris S. Haley, Allan F. McRae, Naomi R. Wray, Peter M. Visscher, Andrew M. McIntosh, Kathryn L. Evans, Ian J. Deary, Riccardo E. Marioni |
X Demographics
The data shown below were collected from the profiles of 65 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 | 13 | 20% |
| United States | 7 | 11% |
| Spain | 4 | 6% |
| Germany | 1 | 2% |
| Slovenia | 1 | 2% |
| Italy | 1 | 2% |
| Chile | 1 | 2% |
| Switzerland | 1 | 2% |
| Israel | 1 | 2% |
| Other | 8 | 12% |
| Unknown | 27 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 51% |
| Scientists | 27 | 42% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 196 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 21% |
| Researcher | 34 | 17% |
| Student > Master | 14 | 7% |
| Professor | 11 | 6% |
| Student > Bachelor | 10 | 5% |
| Other | 23 | 12% |
| Unknown | 62 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 23% |
| Agricultural and Biological Sciences | 22 | 11% |
| Medicine and Dentistry | 20 | 10% |
| Neuroscience | 8 | 4% |
| Economics, Econometrics and Finance | 5 | 3% |
| Other | 26 | 13% |
| Unknown | 69 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 February 2024.
All research outputs
#1,118,872
of 25,837,817 outputs
Outputs from Genome Biology
#805
of 4,513 outputs
Outputs of similar age
#23,655
of 353,689 outputs
Outputs of similar age from Genome Biology
#16
of 85 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 82% 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 353,689 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 93% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.