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Moving towards personalized medicine in rheumatoid arthritis

Overview of attention for article published in Arthritis Research & Therapy, May 2014
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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13 X users

Citations

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8 Dimensions

Readers on

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33 Mendeley
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Title
Moving towards personalized medicine in rheumatoid arthritis
Published in
Arthritis Research & Therapy, May 2014
DOI 10.1186/ar4565
Pubmed ID
Authors

Tamarah D de Jong, Saskia Vosslamber, Cornelis L Verweij

Abstract

To develop personalized medicine strategies for improvement of patient management in rheumatoid arthritis, the clinical and molecular properties of the individual patients need to be well characterized. A crucial step in this approach is to discover subgroups of patients that are characterized by a good or poor treatment outcome. Dennis and colleagues have identified distinct pretreatment gene expression profiles in affected synovial tissue specimens and a tissue type-related systemic protein pattern which are associated with a positive or negative clinical outcome to monotherapy with adalumimab (anti-TNFα) and tocilizumab (anti-IL-6 receptor). These observations assign biological pathways associated with response outcome and provide evidence for the existence of systemic,easy-to-measure predictive biomarkers for clinical benefit of these biologics.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 6 18%
Student > Bachelor 3 9%
Student > Master 3 9%
Professor 2 6%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Immunology and Microbiology 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Agricultural and Biological Sciences 2 6%
Other 2 6%
Unknown 8 24%
Attention Score in Context

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 01 February 2017.
All research outputs
#4,592,553
of 25,371,288 outputs
Outputs from Arthritis Research & Therapy
#991
of 3,380 outputs
Outputs of similar age
#42,533
of 240,993 outputs
Outputs of similar age from Arthritis Research & Therapy
#6
of 40 outputs
Altmetric has tracked 25,371,288 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 3,380 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 70% 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 240,993 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 82% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.