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X Demographics
Mendeley readers
Attention Score in Context
Title |
Genotype effects contribute to variation in longitudinal methylome patterns in older people
|
---|---|
Published in |
Genome Medicine, October 2018
|
DOI | 10.1186/s13073-018-0585-7 |
Pubmed ID | |
Authors |
Qian Zhang, Riccardo E Marioni, Matthew R Robinson, Jon Higham, Duncan Sproul, Naomi R Wray, Ian J Deary, Allan F McRae, Peter M Visscher |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
Spain | 1 | 8% |
Netherlands | 1 | 8% |
United States | 1 | 8% |
Australia | 1 | 8% |
Comoros | 1 | 8% |
Unknown | 4 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 54% |
Scientists | 4 | 31% |
Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 27% |
Researcher | 9 | 24% |
Student > Bachelor | 7 | 19% |
Student > Master | 4 | 11% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 2 | 5% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 22% |
Agricultural and Biological Sciences | 8 | 22% |
Neuroscience | 6 | 16% |
Medicine and Dentistry | 5 | 14% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 11% |
Unknown | 5 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 05 January 2021.
All research outputs
#5,369,637
of 25,837,817 outputs
Outputs from Genome Medicine
#984
of 1,611 outputs
Outputs of similar age
#98,282
of 364,688 outputs
Outputs of similar age from Genome Medicine
#14
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 364,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.