| Title |
An imprinted rheumatoid arthritis methylome signature reflects pathogenic phenotype
|
|---|---|
| Published in |
Genome Medicine, April 2013
|
| DOI | 10.1186/gm444 |
| Pubmed ID | |
| Authors |
John W Whitaker, Robert Shoemaker, David L Boyle, Josh Hillman, David Anderson, Wei Wang, Gary S Firestein |
| Abstract |
A DNA methylation signature has been characterized that distinguishes rheumatoid arthritis (RA) fibroblast like synoviocytes (FLS) from osteoarthritis (OA) FLS. The presence of epigenetic changes in long-term cultured cells suggest that rheumatoid FLS imprinting might contribute to pathogenic behavior. To understand how differentially methylated genes (DMGs) might participate in the pathogenesis of RA, we evaluated the stability of the RA signature and whether DMGs are enriched in specific pathways and ontology categories. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| France | 4 | 29% |
| United States | 2 | 14% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 1% |
| Unknown | 86 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 23% |
| Researcher | 14 | 16% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 11% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 22% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Medicine and Dentistry | 14 | 16% |
| Immunology and Microbiology | 7 | 8% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 24 | 28% |
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 03 May 2013.
All research outputs
#4,808,603
of 25,374,647 outputs
Outputs from Genome Medicine
#925
of 1,585 outputs
Outputs of similar age
#38,770
of 204,196 outputs
Outputs of similar age from Genome Medicine
#19
of 28 outputs
Altmetric has tracked 25,374,647 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 41st percentile – i.e., 41% 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 204,196 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 80% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.