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An imprinted rheumatoid arthritis methylome signature reflects pathogenic phenotype

Overview of attention for article published in Genome Medicine, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
2 CiteULike
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Title
An imprinted rheumatoid arthritis methylome signature reflects pathogenic phenotype
Published in
Genome Medicine, April 2013
DOI 10.1186/gm444
Pubmed ID
Authors

Whitaker JW, Shoemaker R, Boyle DL, Hillman J, Anderson D, Wang W, Firestein GS

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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 14 19%
Student > Master 10 14%
Student > Bachelor 7 10%
Student > Postgraduate 4 5%
Other 9 12%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 26%
Biochemistry, Genetics and Molecular Biology 14 19%
Medicine and Dentistry 13 18%
Immunology and Microbiology 6 8%
Nursing and Health Professions 1 1%
Other 4 5%
Unknown 16 22%

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 03 May 2013.
All research outputs
#4,127,879
of 21,346,377 outputs
Outputs from Genome Medicine
#800
of 1,355 outputs
Outputs of similar age
#33,767
of 173,070 outputs
Outputs of similar age from Genome Medicine
#9
of 17 outputs
Altmetric has tracked 21,346,377 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one is in the 40th percentile – i.e., 40% 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 173,070 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 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.