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Molecular Profile of Peripheral Blood Mononuclear Cells from Patients with Rheumatoid Arthritis

Overview of attention for article published in Molecular Medicine, January 2007
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  • 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 (64th percentile)

Mentioned by

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1 patent
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2 Wikipedia pages

Citations

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64 Dimensions

Readers on

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54 Mendeley
Title
Molecular Profile of Peripheral Blood Mononuclear Cells from Patients with Rheumatoid Arthritis
Published in
Molecular Medicine, January 2007
DOI 10.2119/2006-000056.edwards
Pubmed ID
Authors

Christopher J. Edwards, Jeffrey L. Feldman, Jonathan Beech, Kathleen M. Shields, Jennifer A. Stover, William L. Trepicchio, Glenn Larsen, Brian M. J. Foxwell, Fionula M. Brennan, Marc Feldmann, Debra D. Pittman

Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory arthritis. Currently, diagnosis of RA may take several weeks, and factors used to predict a poor prognosis are not always reliable. Gene expression in RA may consist of a unique signature. Gene expression analysis has been applied to synovial tissue to define molecularly distinct forms of RA; however, expression analysis of tissue taken from a synovial joint is invasive and clinically impractical. Recent studies have demonstrated that unique gene expression changes can be identified in peripheral blood mononuclear cells (PBMCs) from patients with cancer, multiple sclerosis, and lupus. To identify RA disease-related genes, we performed a global gene expression analysis. RNA from PBMCs of 9 RA patients and 13 normal volunteers was analyzed on an oligonucleotide array. Compared with normal PBMCs, 330 transcripts were differentially expressed in RA. The differentially regulated genes belong to diverse functional classes and include genes involved in calcium binding, chaperones, cytokines, transcription, translation, signal transduction, extracellular matrix, integral to plasma membrane, integral to intracellular membrane, mitochondrial, ribosomal, structural, enzymes, and proteases. A k-nearest neighbor analysis identified 29 transcripts that were preferentially expressed in RA. Ten genes with increased expression in RA PBMCs compared with controls mapped to a RA susceptibility locus, 6p21.3. These results suggest that analysis of RA PBMCs at the molecular level may provide a set of candidate genes that could yield an easily accessible gene signature to aid in early diagnosis and treatment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 6%
Montenegro 1 2%
Japan 1 2%
Portugal 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 7 13%
Professor > Associate Professor 7 13%
Student > Master 6 11%
Student > Doctoral Student 5 9%
Other 10 19%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 26%
Medicine and Dentistry 11 20%
Biochemistry, Genetics and Molecular Biology 9 17%
Psychology 3 6%
Nursing and Health Professions 2 4%
Other 6 11%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 August 2015.
All research outputs
#4,696,673
of 22,789,076 outputs
Outputs from Molecular Medicine
#182
of 1,135 outputs
Outputs of similar age
#21,160
of 156,822 outputs
Outputs of similar age from Molecular Medicine
#5
of 14 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,135 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 75% 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 156,822 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 14 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 64% of its contemporaries.