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Attention Score in Context
| Title |
Aging effects on DNA methylation modules in human brain and blood tissue
|
|---|---|
| Published in |
Genome Biology, October 2012
|
| DOI | 10.1186/gb-2012-13-10-r97 |
| Pubmed ID | |
| Authors |
Steve Horvath, Yafeng Zhang, Peter Langfelder, René S Kahn, Marco PM Boks, Kristel van Eijk, Leonard H van den Berg, Roel A Ophoff |
| Abstract |
ABSTRACT: BACKGROUND: Several recent studies reported aging effects on DNA methylation levels of individual CpG dinucleotides. But it is not yet known whether aging-related consensus modules, in the form of clusters of correlated CpG markers, can be found that are present in multiple human tissues. Such a module could facilitate the understanding of aging effects on multiple tissues. RESULTS: We therefore employed weighted correlation network analysis of 2,442 Illumina DNA methylation arrays from brain and blood tissues, which enabled the identification of an age-related co-methylation module. Module preservation analysis confirmed that this module can also be found in diverse independent data sets. Biological evaluation showed that module membership is associated with Polycomb group target occupancy counts, CpG island status and autosomal chromosome location. Functional enrichment analysis revealed that the aging-related consensus module comprises genes that are involved in nervous system development, neuron differentiation and neurogenesis, and that it contains promoter CpGs of genes known to be down-regulated in early Alzheimer's disease. A comparison with a standard, non-module based meta-analysis revealed that selecting CpGs based on module membership leads to significantly increased gene ontology enrichment, thus demonstrating that studying aging effects via consensus network analysis enhances the biological insights gained. CONCLUSIONS: Overall, our analysis revealed a robustly defined age-related co-methylation module that is present in multiple human tissues, including blood and brain. We conclude that blood is a promising surrogate for brain tissue when studying the effects of age on DNA methylation profiles. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
| United Kingdom | 3 | 17% |
| India | 1 | 6% |
| France | 1 | 6% |
| North Macedonia | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 621 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| Spain | 4 | <1% |
| United Kingdom | 4 | <1% |
| Italy | 2 | <1% |
| India | 2 | <1% |
| Belgium | 2 | <1% |
| Sweden | 2 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 593 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 146 | 24% |
| Researcher | 140 | 23% |
| Student > Master | 65 | 10% |
| Student > Bachelor | 48 | 8% |
| Other | 31 | 5% |
| Other | 111 | 18% |
| Unknown | 80 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 184 | 30% |
| Biochemistry, Genetics and Molecular Biology | 150 | 24% |
| Medicine and Dentistry | 60 | 10% |
| Neuroscience | 36 | 6% |
| Computer Science | 22 | 4% |
| Other | 73 | 12% |
| Unknown | 96 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 15 February 2023.
All research outputs
#782,924
of 25,837,817 outputs
Outputs from Genome Biology
#512
of 4,513 outputs
Outputs of similar age
#4,309
of 195,342 outputs
Outputs of similar age from Genome Biology
#5
of 55 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 96th 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 88% 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 195,342 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 96% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.