↓ Skip to main content

Blood autoantibody and cytokine profiles predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis

Overview of attention for article published in Arthritis Research & Therapy, May 2009
Altmetric Badge

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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
2 patents
f1000
1 research highlight platform

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
127 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Blood autoantibody and cytokine profiles predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis
Published in
Arthritis Research & Therapy, May 2009
DOI 10.1186/ar2706
Pubmed ID
Authors

Wolfgang Hueber, Beren H Tomooka, Franak Batliwalla, Wentian Li, Paul A Monach, Robert J Tibshirani, Ronald F Van Vollenhoven, Jon Lampa, Kazuyoshi Saito, Yoshiya Tanaka, Mark C Genovese, Lars Klareskog, Peter K Gregersen, William H Robinson

Abstract

Anti-TNF therapies have revolutionized the treatment of rheumatoid arthritis (RA), a common systemic autoimmune disease involving destruction of the synovial joints. However, in the practice of rheumatology approximately one-third of patients demonstrate no clinical improvement in response to treatment with anti-TNF therapies, while another third demonstrate a partial response, and one-third an excellent and sustained response. Since no clinical or laboratory tests are available to predict response to anti-TNF therapies, great need exists for predictive biomarkers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Colombia 1 <1%
Germany 1 <1%
China 1 <1%
Russia 1 <1%
United States 1 <1%
Philippines 1 <1%
Unknown 118 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 27%
Student > Ph. D. Student 22 17%
Student > Bachelor 11 9%
Student > Postgraduate 10 8%
Professor > Associate Professor 10 8%
Other 27 21%
Unknown 13 10%
Readers by discipline Count As %
Medicine and Dentistry 41 32%
Agricultural and Biological Sciences 40 31%
Biochemistry, Genetics and Molecular Biology 13 10%
Immunology and Microbiology 10 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 4%
Unknown 16 13%
Attention Score in Context

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 21 December 2017.
All research outputs
#4,835,465
of 25,371,288 outputs
Outputs from Arthritis Research & Therapy
#1,027
of 3,381 outputs
Outputs of similar age
#18,650
of 106,946 outputs
Outputs of similar age from Arthritis Research & Therapy
#8
of 30 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,381 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 64% 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 106,946 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 30 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 70% of its contemporaries.