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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
|
|---|---|
| Published in |
Genome Biology, September 2013
|
| DOI | 10.1186/gb-2013-14-9-r102 |
| Pubmed ID | |
| Authors |
Kenneth Day, Lindsay L Waite, Anna Thalacker-Mercer, Andrew West, Marcas M Bamman, James D Brooks, Richard M Myers, Devin Absher |
| Abstract |
DNA methylation is an epigenetic modification that changes with age in human tissues, although the mechanisms and specificity of this process are still poorly understood. We compared CpG methylation changes with age across 283 human blood, brain, kidney, and skeletal muscle samples using methylation arrays to identify tissue-specific age effects. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| United Kingdom | 2 | 18% |
| France | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 36% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| United States | 4 | 1% |
| Spain | 2 | <1% |
| Belgium | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 267 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 26% |
| Researcher | 47 | 17% |
| Student > Bachelor | 33 | 12% |
| Student > Master | 29 | 10% |
| Student > Doctoral Student | 13 | 5% |
| Other | 37 | 13% |
| Unknown | 48 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 89 | 32% |
| Agricultural and Biological Sciences | 84 | 30% |
| Medicine and Dentistry | 18 | 6% |
| Computer Science | 6 | 2% |
| Neuroscience | 5 | 2% |
| Other | 24 | 9% |
| Unknown | 53 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 October 2013.
All research outputs
#4,688,006
of 25,373,627 outputs
Outputs from Genome Biology
#2,762
of 4,467 outputs
Outputs of similar age
#38,979
of 210,205 outputs
Outputs of similar age from Genome Biology
#19
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 210,205 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.